Algorithm

Data Structures and Algorithm Analysis in Java is an advanced algorithms book that fits between traditional CS2 and Algorithms Analysis courses. In the old ACM Curriculum Guidelines, this course was k

德古沙與津奈木開始調查宗教團體「阿弖流為」，卻在途中遭到強大的義體部隊襲擊。津奈木中槍受傷後竟然被最強的獵人「白熊」帶走。然而白熊並未危害津奈木，甚至還幫她療傷。另一方面，巴特與石川則是前往調查義體製造商「大崎重工」……

在東北的十和田發生了義體非法拋棄事件，其中甚至有草薙素子的義體。公安九課收到報告後，就派德古沙以及從靈能局調來的新成員津奈木前往當地調查。兩人潛入跟案件有關的宗教團體「阿弖流為」，卻在那裡遇到了齋藤的宿敵「白熊」。另一方面，沖繩也出現了素子的蹤跡，巴特與石川前往當地調查，卻被捲入兩大幫派的鬥爭之中……

Multiobjective Resource Management Problems (m-RMP) involves deciding how to divide a resource of limited availability among multiple demands in a way that optimizes current objectives. RMP is widely

The aim of this book is to extend the application field of 'anomalous diffusion', and describe the newly built models and the simulation techniques to the models.The book first introduces 'anomalous d

本書特色：•本書架構循序漸進，有步驟地說明有限混合模型(FMM)的原理和應用實例分析。•STaTa提供十七種有限混合模型(FFM)的估計法，功能十分龐大，您不能不知！•本書內容融合理論、方法及統計，每章節均輔以實例示範，學習效率提升。•適用於教育學、心理學、社會科學、生產管理、經濟、風險管理、人資管理、航運管理、財務金融、會計、公共衛生、工業工程等學術領域。•隨書附贈資料檔光碟。有限混合模型(FM

The first five chapters in this collection survey fixed parameter algorithms for graph-modeled data clustering, the probabilistic distance clustering algorithm, analysis of regulatory and interaction

Offer a contemporary overview of computer science with Schneider/Gersting's best-selling INVITATION TO COMPUTER SCIENCE, 8E. This flexible, non-language-specific text uses an algorithm-centered approa

Computational fluid dynamics (CFD) studies the flow motion in a discretized space. Its basic scale resolved is the mesh size and time step. The CFD algorithm can be constructed through a direct modeli

This book deals with the creation of the algorithm backbone that can enable a computer to perceive humans in some monitored space by processing the same signals that humans use in order to perform th

This textbook covers the mathematical foundations of the analysis of algorithms. The gist of the book is how to argue, without the burden of excessive formalism, that a given algorithm does what it is

第1章　步行機械人之數式模型第2章　控制algorithm與步行之穩定性第3章　energy解析與步行機械之實現

本書使用Turbo-C語言把數值分析的重要理則付之執行，為了兼顧一些讀者沒有學過C語言，但知道如何用Q BASIC、Visual Basic其他高階電腦語言寫程式，書中每個問題一定先有一篇解題的詳細理則（Algorithm)(流程圖）之説明，以方便使用其他高階語言的讀者。本書儘量選擇易於寫成程式與準確度高的方法，讓初學者也能無師自通。

Learning JavaScript Data Structures and Algorithms 資料結構（data structure）是電腦系統中組織資料的一種高效方式，學習資料結構及演算法（algorithm）可說是解決各項程式設計問題的重要基礎。 本書起初先從 JavaScript 程式語言的基礎著手，接著便會進入重要的資料結構議題，包含陣列、佇列、堆疊以及鏈結串列等，並且深入探索集合

本書使用Visual Basic語言把數值分析的重要理則付之執行，為了兼顧一些讀者沒有學過Visual Basic語言，但知道如何使用其他高階電腦語言來寫程式，書每個問題一定先有一篇解題的詳細理則（Algorithm）（流程圖）之說明，以方便使用其它的高階語言的讀者，本書盡量選擇易於寫成程式與準確度高的方法，讓初學者也能無師自通。

心臟血管系統的疾病是工業化國家最常見死因及嚴重的疾病。心臟血管醫學是(cardiovascular medicine)是最具「視覺性(visual)」的醫學專科。心臟血管疾病的診斷是基於對許多的圖解波形(graphic waveform)、影像、決定樹枝圖(decision tree)及顯微切片圖的辨認與瞭解。在治療上已逐漸增加對高智能的演算法(algorithm)的使用。這種演算法的使用是最

本書序言Up-to-date, engaging coverage of essential topics●Expanded coverage of cryptography including Elliptic curve photography; coverage of knapsack ciphers has been removed. Also, the important notion of homomorphic encryption is introduced in this edition.●Coverage of recent numerical discoveries, including four new Mersenne primes; the largest known twin primes; the evidence supporting many important conjectures, and more.●Coverage of new theoretical discoveries, such as the proof of weak Goldbach conjecture and the result that there is an algorithm to multiply two n-bit integers using O (nlog2 n) bit operations.A proven approach●Enhanced exercise sets have been examined and improved sets even further, plus several hundred new exercises, from routine to challenging. New computational and exploratory exercises are included.●Connections with abstract algebra: The book does not assume prior knowledge of abstract algebra, but introduces some basic algebraic structures such as gr

Authored by pioneers in dermatology and laser medicine, this unique text is the first comprehensive overview of the treatment of burn and traumatic scars. The content is logically divided into three sections: Defining the Problem, which covers important fundamentals such as the clinically relevant elements of wound care, pain, range of motion, and patient selection, and includes a treatment valuable algorithm. The next section focuses on Treatment, and features discussion of traditional techniques as well as laser assisted drug delivery, fractional resurfacing, vascular lasers and lights, minimally invasive surgical techniques, and more. The final section is devoted to Caring for Wounds and Complications, and includes best practices for wound care, and management of pain, infection, and ulceration. You will find cutting-edge coverage of the latest treatment options, including lasers, medications, and biological implants, along with extensive discussion of wound care.

High level linear algebra book that blends both computational and theoretical aspects, using each to enhance the other. Explains the key points of the Gaussian elimination algorithm. Discusses vector

重複的事交給演算法處理，你可以空出時間去做更有價值的事“本書廣泛地探討演算法概念，避免標準的「趕潮流」做法。它介紹了多數演算法入門書籍都不會談到的投票系統與文字壓縮，讓初學者在還不會走之前就會跑了！”―Steven Skiena，著名的石溪大學電腦科學系教授；《The Algorithm Design Manual》作者“演算法是電腦的核心思想。Panos Louridas寫了一本很棒的書，帶領你

★榮獲《金融時報》「本月最佳商業書」汲取人文科學五大原則，供商界領導人、企業界與個人解決工作與生活最棘手的難題。最優秀的執行長除了能讀報表以外，還要懂得欣賞小說！大數據真能解決所有問題？你我如何在演算法時代下勝出？ 人類已成為演算法的奴隸。日復一日，一個又一個數學天才、工程師拋開人類直覺與經驗，用完全以事實為根據的分析破解產界難題。就這樣，我們不再思考。機器替我們思考了。 在大數據與科學至上論

本書的主要目標是，大家一起來「不寫程式，而學AI」。例如不知Python而亦能用TensorFlow。 當今的AI是屬於機器學習(Machine Learning)的一支，基於神經網路( NN: Neural Network)的深度學習。現在，人人都想去理解AI電腦(即機器)到底是如何學習的，以便掌握AI技術熱潮，捷足先登，踏進這項當今的主流產業(AI人工智慧)。 然而，AI機器學習的演算法(Algorithm)又非常依賴於高等數學的運算式，包括線性、非線性函數、N維矩陣(Array)、張量(Tensor)、微分導數、梯度(Gradient)下降、梯度消失等大家很陌生的數學概念和術語。這些複雜性大大阻礙人人親近AI的機會和途徑。俗語說：「面對複雜，唯有簡單」。所以，尋覓和創造一個簡單、親切的途徑，讓人人都能享受，就能彌平進入AI的高大門檻了。Google推出的AI平台：TensorFlow。雖然它還不能完全實踐的美好境界，但可望它是一個不錯的起點了。於是，本書就將Excel試算表與TensorFlow結合起來，就能實現了。不懂程式設計而能學AI，好比不懂車而能學開車。在本書裡，筆者把與分離開來。於是大多數不諳編程技術者，皆能直接切入，而輕鬆愉快地學習AI了。

★CNN、《新科學人》、《經濟學人》、《柯克斯書評》等多家媒體推薦報導★比爾．蓋茲年度選書！揭開大數據、人工智慧、機器學習的祕密，打造人類文明史上最強大的科技——終極演算法！有一個終極演算法，可以解開宇宙所有的祕密，現在大家都在競爭，誰能最先解開它！．機器學習是什麼？大演算又是什麼？．大演算如何運作與發展，機器可以預測什麼？．我們可以信任機器學過的東西嗎？．商業、政治為什麼要擁抱機器學習？．不只商