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Clinical Tests Total Cholesterol 200 mg/dl HDL 60 mg/dl LDL 130mg/dl Triglycerides 150 mg/dl Glossary leptin (the hormone that tells us we re full) ghrelin (the hormone that tells us we re hungry) alkaline promoting -Fruits, vegetables, tofu, beans and some nuts and seeds are alkaline-promoting foods. acid promoting - Dairy, eggs, meat, most grains, processed foods, and many convenience, packaged foods tend to be more acidic Ginger, an alkaline spice, is also an anti-inflammatory. Multiple studies using ginger have shown it to be effective in reducing muscle pain and soreness after workouts. Capsicum, the spice found in chilies and hot peppers, also has anti-inflammatory properties, and is alkaline in nature. Training Plans Trifuel Magazines, etc. LifeTime Fitness US Masters Exercise Barefoot running Think like a pro Train thru the pain USA Triathlon Create a training plan 4 ways to avoid a bonk 6 tips for running in the heat 3 drills for open swim Strength Training for running Role of HR training 3 bike workouts 5 Laws of weight training Active.com main triathlon page 3 Things I liked from yoga class Rowing (can do anywhere and great for abs) Side Squart (good groin stretch and strengthener) Hip Stretch (great for outer hip. Start from push up) 48 hours prerace Swim Strength Training Fun treadmill workouts Improve your run all day long Push past those last few miles 5k - 8 points Build your running endurance Improve your stride 6 Solutions to midrun issues Perfect Pacing Survive the open water swim Race Recap Running Form Slay the fatigue monster Cycle Training secrets 20 cycling questions Health SuperShakes Pre-/Post-Meals in 15 minutes Exercise helps avoid aging Eat every 3 hours 5-6p of fish oil-How will you die? Chocolate Good Milk good for recovery Eggs good Hydration articles Smoothie and other stuff Telomerase extend your life? Spirulina 4 snack recipes 7 drinks to improve your performance Power of antioxidants Boost immune system Structure Your Workouts The same basics apply here as in any workout. Start with a warm-up of 10-12 minutes. Put in some technical focus for three to five minutes. Perform the main body of your workout, and then follow with seven to 10 minutes of cool-down. Three rides a week in the winter will keep you in shape and improve your bike ability. Drill ride. The main body consists of four sets of 30-second one-footers, with two minutes of recovery. To perform a one-footer, remove one cleat from the pedal and rest that foot safely on the frame of the trainer. Concentrate on 30 seconds of smooth, fluid circles using just one foot. Switch feet and take two minutes of easy spin with both feet as recovery. The next drill is four 30-second spin-ups with two minutes’ recovery. To perform a spin-up, start at 90 rpm in a moderate gear. Gradually increase your cadence to 95, 100, 105 rpm and so on while still in that same gear. After 15 seconds of increasing cadence, get to your fastest spin which is still very smooth (no hopping around in the saddle) and hold that for 15 seconds. Take a full two minutes of easy circles between each for recovery. Interval ride. After a solid warm-up, shift into a higher gear and commit to going very strong for two minutes. You can determine how intense that effort should be with a heart rate monitor, by rate of perceived effort or by breath rate. Then, spin easy for three minutes. Start with three rounds, and as fitness develops, go to four or five rounds. After that, increase the duration of the effort. Eventually, reduce the recovery time. Steady state. After a solid warm-up, settle into a pace that will last 15-30 minutes. Make this a challenge, but not nearly as intense as the effort in the interval ride. Again, use either heart rate, perceived effort or breath rate to decide on the intensity. Hold this effort steady and strong for the full duration, and concentrate on good pedaling mechanics. Be sure to leave plenty of time for a quality cool-down. Vitamins Name Amt %DV True Need A 3500 UI 70% C 90mg 150% D 400 IU 100% E 30 IU 100% K 25cg 31% B1 1.5mg 100% B2 1.7mg 100% Niacin 20mg 100% B6 2mg 100% Folic Acid 500 mcg 125% B12 6mcg 100% Biotin 30mcg 10% Pantothenic Acide 10mg 100% Calcium 200mg 20% Iron 18mg 100% Phosphorus 109 mg 11% Iodine 150mcg 100% Magnesium 100g 25% Zinc 11mg 73% Selenium 55mcg 79% Copper .9mg 45% Manganese 2.3mg 115% Chromium 35mc 29% Molybdenum 45 mcg 60% Chloride 72mg 2% Potassium 80mg 2% Lutein 250mcg Lycopene 300mcg Diagnostic/Lab Tests Heart Test Range Notes Total Cholesterol 200 HDL+LDL+(Trig/5) HDL 59 LDL 100 Triglycerides 150 CHOL/HDLC 3.5 Total/HDL-Important Cardio CRP 1-3 Important Thyroid TSH/T3 .4-.4.5 Kidney Creatinine .5-1.3 EGFR 60 Bone Calcium 8.6-10.2 Pancreas Glucose 65-99 Hemoglobin A1C 6% EAG Liver Alkaline phosphatase 40-115 Bilirubin, Direct .2 Bilirubin, Total .2-1.2 GGT 3-70 AST 10-35 ALT 9-60 Protein, total 6.2-8.3 Guided Imagery Guided Imagery works best when you can close your eyes and listen to another voice. The following script was adapted from a stress-buster exercise available at www.thehealingmind.org. a site that offers many similar resoureces. Begin by getting comfortable where you are...take a couple of slow, deep breaths...when you breathe in, notice that you re bringing in fresh air, oxygen and energy, which can help you fuel and recharge your body...and when you breathe out, let go of any unnecessary tension, discomfort or worry...give yourself permission to relax...as you relax, let your eyes close and begin to focus inside. Imagine yourself in a place you love...somewhere beautiful, peaceful, comfortable and safe...somewhere you know or somewhere that feels good for you to be in...imagine it is yours... Intice the colors and sounds there...notice the air, the fragrances...notice the time of year or time of day...nitce the temperature and how you ve dressed...this is a place where your body can relax and revitalize...take the time to enojoy it...if your mind wanders for time to time, focus on your breatha dn bring yourself back to your beautiful place...remember you can come back here whenever you like. When you re ready to return to the outer worlkd, slowly let the images fade and go back inside...bring the feelings of safety, relaxation and revitalization with you...let yourself return energized and refreshed, ready to make the best of the day ahead. See also http //www.healthjourneys.com http //www.simplyaudiobooks.com http //www.learnoutloud.com
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Chapter 1.3 Exercise 1.29 (define (simpson f a b n) (if (and ( n 0) (even? n)) (simpson-in f a b (/ (- b a) n)) (simpson f a b (+ n 1)))) (define (simpson-in f a b h) (define (g x) (+ (f x) (* 2 (f (+ x h))))) (define (add-2h x) (+ x h h)) (/ (* h (+ (f a) (f b) (* 4 (f (+ a h))) (* 2 (sum g (add-2h a) add-2h (- b h))))) 3)) simpson手続きはnが2以上の偶数になるまで, +1し続ける sum手続きの中身は, n≧2のとき下のΣの中身と同じ. n=2のときはf(a)+4f(a+h)+f(b)になる. シンプソンの公式 名前 Exercise 1.30 (define (sum f a next b) (define (iter a result) (if ( a b) result (iter (next a) (+ result (f a))))) (iter a 0)) ; 評価の順序は違う ; 和が可換なので結果は同じ ; recursive ;(sum identity 1 inc 5) ;(+ 1 (+ 2 (+ 3 (+ 4 (+ 5 0))))) ;= 1+(2+(3+(4+(5+0)))) ; iterative ; result -- (+ 0 1) ; result -- (+ result 2) ; result -- (+ result 3) ; result -- (+ result 4) ; result -- (+ result 5) ;=((((0+1)+2)+3)+4)+5 結合法則が成り立つなら結果は同じ Exercise 1.31 ;; recursive (define (product f a next b) (if ( a b) 1 (* (f a) (product f (next a) next b)))) ;; iterative (define (product-iter f a next b) (define (iter a result) (if ( a b) result (iter (next a) (* result (f a))))) (iter a 1)) ; Wallis Formula (define (pi-product n) (define (square x) (* x x)) (define (pi-term k) (/ (* 4.0 k (+ k 1)) (square (+ k k 1)))) (define (pi-next x) (+ x 1)) (* 4 (product pi-term 1 pi-next n))) Wallisの公式 どちらも収束するから Exercise 1.32 ;; recursive (define (accumulate combiner null-value term a next b) (if ( a b) null-value (combiner (term a) (accumulate combiner null-value term (next a) next b)))) ;; iterative (define (accumu-iter combiner initial-value f a next b) (define (iter a result) (if ( a b) result (iter (next a) (combiner result (f a))))) (iter a initial-value)) (define (sum f a next b) (accumulate (lambda (x y) (+ x y)) 0 f a next b)) (define (product f a next b) (accumulate (lambda (x y) (* x y)) 1 f a next b)) Exercise 1.33 長い... (define (filter-accumu filter combiner null-value term a next b) (if ( a b) null-value (let ((fx (term a))) (if (filter fx) (combiner fx (filter-accumu filter combiner null-value term (next a) next b)) (filter-accumu filter combiner null-value term (next a) next b))))) (define (product-rel-prime n) (filter-accumu (lambda (x) (= (gcd x n) 1)) (lambda (x y) (* x y)) 1 (lambda (x) x) 1 (lambda (x) (+ x 1)) n)) Exercise 1.36 (define (fixed-point-print f guess) (define (print-line i x) (display i) (display " ") (display x) (newline)) (define (try cnt x) (let ((next (f x))) (if (close-enough? x next) next ((lambda () (print-line cnt x) (try (+ cnt 1) next)))))) (try 1 guess)) (define (average x y) (/ (+ x y) 2)) (define (average-dump f) (lambda (x) (/ (+ x (f x)) 2))) (define (ex136a) (fixed-point-print (lambda (x) (/ (* 3 (log 10)) (log x))) 2.0)) (define (ex136b) (fixed-point-print (average-dump (lambda (x) (/ (* 3 (log 10)) (log x)))) 2.0)) ;;(136a) ;;= 33step 4.555532270803653 ;;(136b) ;;= 8step 4.555537551999826 Exercise 1.37 ; continued fraction ;; (cf n d k) = (/ n1 (+ d1 (/ n2 (+ d2 ... (/ nk (+ dk 0))...)))) ; (define (cf n d k) (define (cf-helper i) (if ( i k) 0 (/ (n i) (+ (d i) (cf-helper (+ i 1)))))) (cf-helper 1)) ;; iterative ;; (cf n d k) ;; result -- (/ (n k) (+ (d k) 0)) ;; result -- (/ (n (- k 1)) (+ (d (- k 1)) result)) ;; result -- (/ (n (- k 2)) (+ (d (- k 2)) result)) ;; ... ;; result -- (/ (n 1) (+ (d 1) result)) ;; accumulateでもよさそう? (define (cf-iter n d k) (define (iter i result) (if ( i 1) result (iter (- i 1) (/ (n i) (+ (d i) result))))) (iter k 0)) (define (inversed-golden-ratio k) (cf (lambda (i) 1.0) (lambda (i) 1.0) k)) ;;(inversed-golden-ratio 100) ;;= 0.6180339887498948 Continued-Fractionのページ Exercise 1.38,39 ;-- ex.1.38 ;; Euler s contnued-fraction expansion of e ; (define (euler-e k) (+ 2 (cf (lambda (i) 1.0) (lambda (i) (if (= (remainder i 3) 2) (* (+ (quotient i 3) 1) 2.0) 1.0)) k))) ;-- ex.1.39 ;; continued-fraction expansion of tan(x) ; by J.H.Lambert (1770) ; ;http //mathworld.wolfram.com/Tangent.html (define (tan-cf x k) (/ x (+ 1 (cf (lambda (i) (* x x -1)) (lambda (i) (+ i i 1)) k)))) Exercise 1.41 ; (double arg)はargを2回適用する手続きを返す ; (double double)はdoubleを2回適用する手続きを返す == argを4回適用する手続きを返す手続き ;; (define (quadruple arg) (lambda (x) (arg (arg (arg (arg x)))))) と同じ ; (double (double double)) は (double double)を2回適用する手続きを返す ; ;--訂正 2010-3-1 ;= (lamda (proc) (quadruple (quadruple proc)))と同じ ;= (lambda (proc) (lambda (x) (quadruple (proc (proc (proc (proc x)))))) ;= (lambda (proc) (lambda (x) (proc (proc (… (proc x) …))))) ;= procを16回適用する手続きを返す手続き ; ;**ここからウソついた. ので上に訂正 2010-3-1 ; (quadruple (quadruple (quadruple (quadruple arg)))) と同じ ;**ここまで. ; (((double (double double)) inc) 5) ;= 5+16=21 Exercise 1.46 (define (iterative-improve good-enough? improve) (define (iter f guess) (if (good-enough? guess) guess (iter f (improve guess)))) ((lambda (x) x) iter)) (define (fixed-point-2 f guess) (define tolerance 0.00001) (define (close-enough? guess) ( (abs (- guess (f guess))) tolerance)) ((iterative-improve close-enough? f) f guess))
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The story below is originally published on Mainichi Daily News by Mainichi Shinbun (http //mdn.mainichi.jp). They admitted inventing its kinky features, or rather deliberately mistranslating them from the original gossip magazine. In fact, this is far from the general Japanese behavior or sense of worth. このページは、毎日新聞事件の検証のための配信記事対訳ページです。直接ジャンプして来られた方は、必ずFAQをお読みください。 ※ この和訳はあくまでもボランティアの方々による一例であり、翻訳の正確さについては各自判断してください。もし誤訳（の疑い）を発見した場合には、直接ページを編集して訂正するか翻訳者連絡掲示板に報告してください。 Who needs a gym when you have Chocoball's 'station bento' sexercise workout?チョコボールの『駅弁』セクササイズ・トレーニングさえあればジムなんて必要ない 参考資料 拡散状況 関連ページ Who needs a gym when you have Chocoball s station bento sexercise workout? チョコボールの『駅弁』セクササイズ・トレーニングさえあればジムなんて必要ない 元記事（削除済み)：http //mdn.mainichi.jp/culture/waiwai/news/20080417p2g00m0dm020000c.html 0 Who needs a gym when you have Chocoball s station bento sexercise workout? 2008,04,17 Spa! 4/10 By Ryann Connell チョコボールの『駅弁』セクササイズ・トレーニングさえあればジムなんて必要ない 2008,04,17 SPA! 4/10 ライアン・コネル記 1 Bonking can make you muscle-bound for free, Japan s original macho man porn star Chocoball Mukai tells Spa! (4/10). セックスをすると無料で筋肉でガチガチになれる、と日本のマッチョポルノ男優の元祖・チョコボール向井は、SPA!(4/10)に語る。 2 "We build up our bodies every time we have sex," the 42-year-old stick flick star tells Spa! "Depending on the position you adopt, the part of the body you build up is going to be different. Take the missionary position. Instead of lying on top of the woman, support yourself by your arms and do push-ups instead." 「私たちはセックスをするたび毎回体を鍛え上げます」とこの四十二歳の竿を振り回す人気者は言う。 「どの体位でするかに依って、鍛え上げられる体の部位が異なります。正常位の場合、女性の上で横たわるかわりに、自分の腕で自分自身を支えて、かわりに腕立て伏せをしてください」 3 Chocoball appears in pictures accompanying the article together with a young starlet where they demonstrate what he explains. For the missionary position, he has straightened his back and arms and is ready to thrust by flexing his biceps and forearms instead of grinding his hips. チョコボールは売り出し中の若手女優と一緒に解説とともに、動画――そこで彼らは説明したことを実践するのだ――に登場する。 正常位の場合、彼は背中と腕を伸ばし、自分の腰を振り回すかわりに上腕と前腕を曲げて、グイッとつく体勢になる。 4 Guys can still get a free workout in a number of ways with the woman riding atop, Chocoball notes for the men s weekly. ほかにも、男たちは女性に騎乗された状態でいくつもの無料のトレーニングができる、とチョコボールはSPA!のために指摘する。 5 Stomach crunches become possible if the guy keeps his legs parallel to the ground and stretches up to fondle, lick or kiss the breasts, thus working on the upper abdominal muscles. もし男が足を地面と平行にし続けて、体を伸ばして胸を愛撫し・舐め・キスすれば、腹筋の上部が使われるので、腹筋運動が可能になる。 6 To give the lower abs a workout, lie flat down and raise the legs airwards, Chocoball advises. 腹筋の下部をトレーニングするためには、うつぶせになって空中に足を上げよ、とチョコボールは助言する。 7 Arguably, Chocoball s best-known position is what the Japanese call the ekiben, where the standing man holds the woman up, while she wraps her arms around his neck. The ekiben gets its name from the large trays attendants sling around their neck and support with their arms on both sides that they use to carry ekiben boxed lunches sold at train stations. おそらくは間違いなく、チョコボールのもっとも有名な体位は、日本人が駅弁位と呼ぶところのものである。この体位では、女性が腕を男性の首に回し、それと同時に彼が立ったまま彼女を抱き上げる。 駅弁位という名前は、接客係が首の周りに掛けて、両側を腕で支える大きなトレーに由来する。接客係は、それを使って列車の駅で箱に入れられた食べ物・駅弁を運ぶのだ。 8 Chocoball says the key to making this position a cheap workout to build up muscles lies in supporting the woman by holding her thighs and using the arms to move her up and down. この体位を筋肉を鍛え上げるための安価なトレーニングにする秘訣は、女性の太ももを抱えて腕をつかって彼女を上下動させる、女性の支え方にある、とチョコボールはいう。 9 For advanced proponents of ekiben sexercise, simply repeat the above process while bending the knees further than usual, giving the hamstrings a workout at the same time. 駅弁エクササイズ賛同者の上級者向けとしては、通常よりも膝を曲げながら上述のプロセスを繰り返すだけでよい。そうすると同時に大腿後面の筋肉群をトレーニングできるのだ。 10 Chocoball tells the men s weekly ekiben sexercise can bulk up the upper arms, back and leg muscles. チョコボールはSPA!に、駅弁エクササイズで上腕・背面・足の筋肉を増量できるという。 11 "We try to make sex look as flamboyant as possible, so on film we re usually on the job for at least 30 minutes a time, which is always pretty good exercise," Chocoball tells Spa! "Do it every day and you ll be built like a tank in no time." (By Ryann Connell) 「私たちはセックスを可能な限りけばけばしく見せようとしているので、AVでは、私たちは通常一度に少なくとも三十分間やるべきことをやります。これはいつも上質のエクササイズになります」と、チョコボールはSPA!に語る。 「これを毎日やれば、すぐに戦車みたいな魅力的な体つきになれます」(ライアン・コネル記) 12 (Mainichi Japan) April 17, 2008 (毎日 日本) 2008年4月17日 参考資料 チョコボール向井 http //ja.wikipedia.org/wiki/%E3%83%81%E3%83%A7%E3%82%B3%E3%83%9C%E3%83%BC%E3%83%AB%E5%90%91%E4%BA%95 拡散状況 Japanese Style Noodles http //www.japanesestylenoodles.com/waiwai/archive20080417 英語版Wikipedia http //en.wikipedia.org/wiki/Chocoball_Mukai 英語サイト http //www.eunuch.org/vbulletin/showthread.php?t=13148 http //www.gaijinpot.com/bb/showpost.php?p=619619 http //www.japanaddicted.com/index.php?name=News file=article sid=4735 関連ページ Japanese Style Noodles WaiWaiの記事を転載した英語サイト：E WaiWaiの記事を転載した英語サイト：G WaiWaiの記事を転載した英語サイト：J 毎日新聞英語版から配信された記事2008年 英語版Wikipediaに記事が及ぼした影響
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Market Analysis The In-Building Wireless Market is expected to grow at a CAGR of 12.30 % by2027, reaching USD 19.1 billion in the forecast period. In enterprise networks, wireless networking has made great advances. These wireless networks connect mobile phones to the public switched telephone network and give internet access via a local area network. Rather than the conventional cellular networks separate interface networks, the wireless networks will converge to service both internet and telephone devices, resulting in increased efficiency and low cost. Wireless LAN and wireless cellular have been regarded as overlay networks in businesses. It has grown in popularity as a major phone and data access point within the building. The increased use of wireless in the business world has changed the requirements for in-building wiring as well as the facilities required in telecommunications facilities. There is a growing demand for consistent cell phone service in business spaces. In-build wireless is a networking solution that enables the upgrading and deployment of wireless connections within an office building or other large commercial enterprise. The major growth driver of the In-building wireless market is the increased acceptance of in-building wireless technologies such as higher data rates, increased use of mobile devices, the adoption of "bring your own device" culture in offices, schools, and other environments, lower-cost network infrastructure for wireless systems, improved wireless network quality of service, and improved wireless in-building coverage. However, lesser operational knowledge in the wireless system due to complex technology can be a restraining factor for the market growth. But the current pandemic situation is also creating many opportunities in the global market due to wireless communications to remote locations. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/10479 Market Segmentation According to the global In-building wireless market analysis report, the market is classified into component, business model, venue, end-user, and region. Further, these segments are against segregation into various market elements. On the basis of components, the in-building wireless market again segmented into infrastructure and services. Moreover, the infrastructure segment is divided into DAS and small cells once more. The business model segment has further divided the in-building wireless market into service providers, enterprises, and neutral host operators. Similarly, the venue segment is again classified into large venues, medium venues, and small venues. According to the end user segment, the in-building wireless market is sub-segmented into government, manufacturing, transportation and logistics, education, retail, hospitality, healthcare, and others. Regional Analysis North America, Europe, Asia-Pacific, the Middle East and Africa, and South America were all studied for the global in-building wireless market. Based on this global market analysis, North America is estimated to lead the global in-building wireless market in terms of the growing demand for distinct and defined network coverage. Moreover, the Asia-pacific market region is also expected to grow at a faster pace in the forecast period due to increasing economic developments and building awareness in the in-building wireless techniques. Key Players The key players of the global in-building wireless market are Nokia ( Finland ) , Ericsson ( Sweden ) , Huawei ( China ) , ZTE( China ) , NEC ( Japan ) , CommScope ( US ) , Corning ( US ) , Axell Wireless ( UK ) , Comba Telecom ( Hong Kong ) , Samsung ( South Korea ) , SOLiD ( South Korea ) , Dali Wireless ( US ) , Zinwave ( US ) , ADRF ( US ) , ip.access ( UK ) , Airspan ( US ) , Contela ( South Korea ) , Fujitsu ( Japan ) , BTI Wireless ( US ) , Bird ( US ) , Accelleran ( Belgium ) , Baicells Technologies ( US ) , Qucell ( South Korea ) , Casa Systems ( US ) , CommAgility ( UK ) , Galtronics ( Canada ) , G-Wave Solutions ( US ) , HUBER+SUHNER ( Switzerland ) , JMA Wireless ( US ) , Microlab ( US ) , Nextivity ( US ) ,Sarcomm ( Taiwan ) , PCTEL ( US ) , Whoop Wireless ( US ) , and Westell Technologies ( US ) . Industry News In December 2021, Nokia announced to have deployed a 5G private wireless network for Volkswagen s pilot project in Germany, which would help with supporting industrial connectivity at the product development center. In October 2021, Ericsson and PowerLightshowed, the world s first wirelessly powered 5G base station. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/in-building-wireless-market-10479 Table of Contents 1 Executive Summary 2 Scope of The Report 2.1 Market Definition 2.2 Scope of The Study 2.2.1 Research Objectives 2.2.2 Assumptions Limitations 2.3 Market Structure Continued… Similar Report** Passport Radar Market https //www.marketresearchfuture.com/reports/passport-reader-market-5929 Internet of things (IoT) Market https //ictmrfr.blogspot.com/2022/04/internet-of-things-market-growth-key.html B2B Telecommunication Market https //www.scutify.com/articles/2022-04-12-b2b-telecommunication-market-analysis--geographic-growth-opportunities-for-it-security-and-data- Cash Management System Market https //market-research-future.tribe.so/post/cash-management-system-market-size-receives-a-rapid-boost-in-economy-due-to--625d5382d24f49591bd3befb Open Source Intelligence (OSINT) Market By Security Type (Human Intelligence, Content Intelligence, Dark Web Analysis, Link/Network Analysis, Data Analytics, Text Analytics, Artificial Intelligence, Big Data, Others), Technology (Bid Data Software, Video Analytics, Text Analytics, Visualization Tool, Cyber Security, Web Analysis, Social Media Analysis, Others), Application (Military Defense, Homeland Security, Private Sector, Public Sector, National Security, Others) About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com #market #research #industry #data #report #share #digital #gnews Plugin Error キーワードを入力してください。 #trend #future #analyis #industryreport #industrygrowth #demographic #strategy #manegment
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The Federal Republic of Germany at Forty-Five Union Without Unity New York Univ Pr?Peter H. Merkl? The Federal Republic of Germany Union Without Unity New York Univ Pr?Peter H. Merkl? The Federal Republic of Germany at Fifty The End of a Century of Turmoil New York Univ Pr?Peter H. Merkl? The Federal Republic of Germany at Fifty The End of a Century of Turmoil New York Univ Pr?Peter H. Merkl? On a Painted Ocean Art of the Seven Seas New York Univ Pr?Peter Neill?James Randall?Gareth L. Steen? Game Theory and Political Science Studies in Game Theory and Mathematical Economics New York Univ Pr?Peter C. Ordeshook? In the Shadow of Sharpeville Apartheid and Criminal Justice New York Univ Pr?Peter Parker?Joyce Mokhesi-Parker? The History of the Riverside Church in the City of New York (Religion, Race, and Ethnicity) New York Univ Pr?Martin E. Marty?Peter J. Paris?John Wesley Cook?James Hadnut-Beumler?Lawrence H. Mamiya?Leonora Tubbs Tisdale?Judith Weisenfeld? 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Chapter 2.1 名前 Exercise 2.1 (define (make-rat n d) (define (cons-rat n d) (let ((g (gcd n d))) (cons (/ n g) (/ d g)))) (if ( (* n d) 0) (cons-rat (- (abs n)) (abs d)) (cons-rat (abs n) (abs d)))) Exercise 2.2 (define (average x y) (/ (+ x y) 2)) (define (make-segment p q) (cons p q)) (define (start-segment seg) (car seg)) (define (end-segment seg) (cdr seg)) (define (make-point x y) (cons x y)) (define (x-point p) (car p)) (define (y-point p) (cdr p)) (define (midpoint-segment s) (let ((p (start-segment s)) (q (end-segment s))) (make-point (average (x-point p) (x-point q)) (average (y-point p) (y-point q))))) Exercise 2.3 Exercise 2.4 ; cons,car,cdrを手続きで表現する (define (cons2 x y) (lambda (m) (m x y))) (define (car2 z) (z (lambda (a d) a))) (define (cdr2 z) (z (lambda (a d) d))) Exercise 2.5 非負整数のペアをで表現する (define (count-factor factor num cnt) (if (= (remainder num factor) 0) (count-factor factor (/ num factor) (+ cnt 1)) cnt)) (define (cons3 a b) (if (and ( a 0) ( b 0)) (* (expt 2 a) (expt 3 b)) 0)) (define (car3 z) (count-factor 2 z 0)) (define (cdr3 z) (count-factor 3 z 0)) Exercise 2.6 (define zero (lambda (f) (lambda (x) x))) (define (succ n) (lambda (f) (lambda (x) (f ((n f) x))))) ; (succ zero) ; (lambda (f) (lambda (x) (f ((zero f) x)))) ; (lambda (f) (lambda (x) (f ((lambda (x) x) x)))) (define one (lambda (f) (lambda (x) (f x)))) ; (succ one) ; (lambda (f) (lambda (x) (f ((one f) x)))) ; (lambda (f) (lambda (x) (f ((lambda (x) (f x)) x)))) (define two (lambda (f) (lambda (x) (f (f x))))) ; PLUS = λm n f x. m f (n f x) (define (plus m n) (lambda (f) (lambda (x) ((m f) ((n f) x))))) ; ついで, Church数から普通の整数に変換 (define (church-to-number n) (define (inc x) (+ x 1)) ((n inc) 0)) Church numeral ラムダ計算 0 = λfx.x == λf.(λx.x) 1 = λfx.fx 2 = λfx.f(fx) succ = λnfx.f((n f) x) nとは, fを受け取ってfをn回適用する手続き Exercise 2.7 (define (l-b i) (min (car i) (cdr i))) (define (u-b i) (max (car i) (cdr i))) ;(car i) (cdr i)の関係が保証されているとするなら (define (lower-bound i) (car i)) (define (upper-bound i) (cdr i)) Exercise 2.8 (define (sub-interval x y) (add-interval x (make-interval (* -1 (upper-bound y)) (* -1 (lower-bound y))))) Exercise 2.9 (define (width x) (/ (- (upper-bound x) (lower-bound x)) 2)) 和差 x1 = [l1,u1], x2 = [l2,u2] width(x1)+width(x2) = (u1-l1)/2 + (u2-l2)/2 x1 + x2 = [l1+l2,u1+u2] width(x1+x2)={(u1+u2)-(l1+l2)}/2=(u1-l1)/2 + (u2-l2)/2 x1 - x2 = [l1-u2,u1-l2] width(x1-x2)={(u1-l2)-(l1-u2)}/2=(u1-l1)/2 + (u2-l2)/2 積商 x1 = [6,8], x2 = [1,2] width(x1)=1, width(x2)=1/2 x1 * x2 = [6,16] width(x1 * x2) = (16-6)/2 = 5 width(x1) * width(x2) = 1/2 x1 / x2 = [3,8] width(x1 / x2) = (8-3)/2 = 5/2 width(x1) / width(x2) = 2 Exercise 2.10 (define (div-interval x y) (define span (and ( = (lower-bound y) 0) ( = 0 (upper-bound y)))) (if span (error "perhaps division by zero") (mul-interval x (make-interval (/ 1.0 (upper-bound y)) (/ 1.0 (lower-bound y)))))) Exercise 2.11 Exercise 2.12 ; intervalをcenterと誤差(percent)で定義する ; (define (make-center-percent c per) (let ((err (/ (* c per) 100.0))) (make-interval (- c err) (+ c err)))) (define (center i) (/ (+ (upper-bound i) (lower-bound i)) 2)) (define (width i) (/ (- (upper-bound i) (lower-bound i)) 2)) (define (percent i) (/ (* 100.0 (width i)) (center i))) Exercise 2.13 演算結果はそれぞれ次のものと同値 ;par1 (make-interval (/ (* (lower-bound r1) (lower-bound r2)) (+ (upper-bound r1) (upper-bound r2))) (/ (* (upper-bound r1) (upper-bound r2)) (+ (lower-bound r1) (lower-bound r2)))) ;par2 (make-interval (/ (* (lower-bound r1) (lower-bound r2)) (+ (lower-bound r1) (lower-bound r2))) (/ (* (upper-bound r1) (upper-bound r2)) (+ (upper-bound r1) (upper-bound r2)))) Exercise 2.14
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Chapter 1.2 Exercise 1.9 ;; former= recursive (+ 4 5) (inc (+ 3 5)) (inc (inc (+ 2 5))) (inc (int (inc (+ 1 5)))) (inc (inc (inc (inc 5)))) ;; latter= iterative (+ 4 5) (+ 3 6) (+ 2 7) (+ 1 8) (+ 0 9) Exercise 1.10 (A 1 10)= 1024 (A 2 4)= 65536 (A 3 3)= 65536 ;; hが面倒なのでSchemeで表記 (define (f n) (* 2 n)) (define (g n) (expt 2 n)) (define (h n) (if ( n 1) (expt 2 (h (- n 1))) 2)) A(1,n)=A(0,A(1,n-1))=2A(1,n-1) A(1,1)=2 から A(2,n)=A(1,A(2,n-1))=2^A(2,n-1) A(2,1)=2 から 同じように Wikipedia テトレーション参照 名前 Exercise 1.11 (define (f n) (iter-f 2 1 0 n)) (define (iter-f a b c n) (if (= n 0) c (iter-f (+ a (* 2 b) (* 3 c)) a b (- n 1)))) f(n+3)=f(n+2)+f(n+1)+f(n)を行列で表現すると反復表現が理解しやすい - tar0_t 2010-02-17 16 21 25 名前 Exercise 1.12 (define (pascal-triangle n) (if (= n 1) (cons 1 ()) (map + (chain (pascal-triangle (- n 1))) (cons 0 (pascal-triangle (- n 1)))))) (define (chain ls) (if (eqv? (cdr ls) ()) (cons (car ls) (0)) (cons (car ls) (chain (cdr ls))))) 名前 Exercise 1.13 方針だけメモ fib(n+2)-B*fib(n+1) = A*(fib(n+1)-B*fib(n)) と変形できたとすれば fib(n+1)-B*fib(n) = (fib(2)-B*fib(1))*A^(n-1) = A^n 両辺をB^nで割ると G(n) = fib(n)/B^(n-1) とおいて G(n+1)-G(n) = (A/B)^n Σ[k=1,n-1]G(k) = G(n) - G(1) を解けばよいはず Exercise 1.14 Exercise 1.19 (define (fib-iter a b p q cnt) (cond ((= cnt 0) b) ((even? cnt) (fib-iter a b (p2 p q) (q2 p q) (/ cnt 2))) (else (fib-iter (+ (* b q) (* a q) (* a p)) (+ (* b p) (* a q) p q (- cnt 1))))) (define (p2 p q) (+ (* p p) (* q q))) (define (q2 p q) (+ (* 2 p q) (* q q))) (a ,b ) = Tpq * (a,b) = (bq + a(p+q), bp + aq) とすると, Tpqは線形変換. Tpq は2x2の行列として表せるのでTpq^2を計算すればよい すると, が得られるので, 2乗を計算すればいい Exercise 1.23 next手続きの中で, 2かそうでないかの判断を毎回行っているから？
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3 Modularity, Objects, and State 3.1 Assignment and Local State 3.1.1 Local State Variables Exercise 3.1 (define (make-accumulator augend) (lambda (addend) (begin (set! augend (+ augend addend)) augend))) by iwk Exercise 3.2 (define (make-monitored f) (let ((count 0)) (define (how-many-calls?) count) (define (reset-count) (set! count 0) count) (define (counting-procedure x) (set! count (+ count 1)) (f x)) (define (dispatch m) (cond ((eq? m how-many-calls?) (how-many-calls?)) ((eq? m reset-count) (reset-count)) (else (counting-procedure m)))) dispatch)) by iwk Exercise 3.3 (define (make-account balance passwd) (define (withdraw amount) (if ( = balance amount) (begin (set! balance (- balance amount)) balance) "Insufficient funds")) (define (deposit amount) (set! balance (+ balance amount)) balance) (define (dispatch pass m) (if (eq? pass passwd) (cond ((eq? m withdraw) withdraw) ((eq? m deposit) deposit) (else (error "Unknown request -- MAKE-ACCOUNT" m))) (error "Incorrect password" pass))) dispatch) by iwk Exercise 3.4 3.1.2 The Benefits of Introducing Assignment Exercise 3.5 Exercise 3.6 3.1.3 The Costs of Introducing Assignment Exercise 3.7 Exercise 3.8 3.2 The Environment Model of Evaluation 3.2.1 The Rules for Evaluation 3.2.2 Applying Simple Procedures Exercise 3.9 3.2.3 Frames as the Repository of Local State Exercise 3.10 3.2.4 Internal Definitions Exercise 3.11 3.3 Modeling with Mutable Data 3.3.1 Mutable List Structure Exercise 3.12 Exercise 3.13 Exercise 3.14 Exercise 3.15 Exercise 3.16 Exercise 3.17 Exercise 3.18 Exercise 3.19 Exercise 3.20 3.3.2 Representing Queues Exercise 3.21 Exercise 3.22 Exercise 3.23 3.3.3 Representing Tables Exercise 3.24 Exercise 3.25 Exercise 3.26 Exercise 3.27 3.3.4 A Simulator for Digital Circuits Exercise 3.28 Exercise 3.29 Exercise 3.30 Exercise 3.31 Exercise 3.32 3.3.5 Propagation of Constraints Exercise 3.33 Exercise 3.34 Exercise 3.35 Exercise 3.36 Exercise 3.37 3.4 Concurrency Time Is of the Essence 3.4.1 The Nature of Time in Concurrent Systems Exercise 3.38 3.4.2 Mechanisms for Controlling Concurrency Exercise 3.39 Exercise 3.40 Exercise 3.41 Exercise 3.42 Exercise 3.43 Exercise 3.44 Exercise 3.45 Exercise 3.46 Exercise 3.47 Exercise 3.48 Exercise 3.49