PRINCETON LECTURES IN ANALYSIS II COMPLEX ANALYSIS (1版)

其他會員也一起購買

【原文書】 書名：Complex Analysis (Princeton Lectures in Analysis, No. 2) 作者：STEIN 出版社：PRINCETON 出版日期：2003/04/07 ISBN：9780691113852

ELEMENTS OF DISCRETE MATHEMATICS (2版)

相關熱銷的書籍推薦給您

書名：Elements of Discrete Mathematics 2/e 作者：LIU 出版社：McGraw-Hill 出版日期：1985/00/00 ISBN：9780071005449 內容簡介 This book presents a selection of topics from set theory, combinatorics, graph theory, and algebra which were been considered as basic and useful to students in Applied Mathematics, Computer Seience, and Engineering. It's intended to be a textbook for a course in Discrete Mathematics at the sophomore-junior level, although it can also be used in a freshman-level course since the presentation does not assume any background beyond high-school mathematics. 目錄 1. Sets and Propositions 2. Computability and Formal Languages 3. Permutations, Combinations, and Discrete Probability 4. Relations and Functions 5. Graphs and Planar Graphs 6. Trees and Cut-Sets 7. Finite State Machines 8. Analysis of Algorithms 9. Discrete Numberic Functions and Generating Functions 10. Recurrence Relations and Recursive Algorithms 11. Groups and Rings 12. Boolean Algebras

MECHANICS OF MATERIALS: A FRIENDLY APPROACH

類似書籍推薦給您

The knowledge of mechanics of materials is the very foundation for advanced topics in mechanical, civil, aerospace, chemical, ceramic engineering and materials science. This comprehensive book presents materials with a three-dimensional approach rather than two-dimensional analysis adopted by existing books. It develops the required background thoroughly before basic elements such as stress and strain tensors are formulated. The presentation is richly filled with anecdotes, illustrations and solved examples. Special care has been taken to carry out algebra and the derivations in small digestible steps. This useful reference text largely meets the requirements of computer-aided engineering (CAE) softwares which are widely used in industrial-sector and research & development laboratories to design structural members. Related Link(s) Press Release — A Friendly Approach to the Mechanics of Materials Request Inspection Copy Sample Chapter(s) Preface Chapter 1: Getting into a New Ball Game Contents: Getting into a New Ball Game Forces, Moments, and Equilibrium Reactions and Free Body Diagrams Internal Forces in Slender Members Stress Tensor Transformation of Stress Components Deformation and Strain Tensor Material Behavior: Stress–Strain Relations Axial Members: Stresses, Thermal Strains, and Compatibility Bending Moments and Shear Forces Deflection due to Bending Torsion Combined Stresses and Yield Criteria Energy Methods Historical Perspective Readership: Researchers, professionals, academics, undergraduate and graduate students in mechanical engineering, civil engineering, aerospace engineering, materials science and chemical engineering.

Data Analysis for Social Science: A Friendly and Practical Introduction (1版)

類似書籍推薦給您

【簡介】 An ideal textbook for an introductory course on quantitative methods for social scientists Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Using plain language and assuming no prior knowledge of statistics and coding, the book provides a step-by-step guide to analyzing real-world data with the statistical program R for the purpose of answering a wide range of substantive social science questions. It teaches not only how to perform the analyses but also how to interpret results and identify strengths and limitations. This one-of-a-kind textbook includes supplemental materials to accommodate students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose. A more accessible version of Kosuke Imai's Quantitative Social Science Analyzes real-world data using the powerful, open-sourced statistical program R, which is free for everyone to use Teaches how to measure, predict, and explain quantities of interest based on data Shows how to infer population characteristics using survey research, predict outcomes using linear models, and estimate causal effects with and without randomized experiments Assumes no prior knowledge of statistics or coding Specifically designed to accommodate students with a variety of math backgrounds Provides cheatsheets of statistical concepts and R code 【目錄】

《中英合售》機率學 Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers/Yates

類似書籍推薦給您

【簡介】 【目錄】

A Friendly Introduction to Number Theory (4版)

類似書籍推薦給您

作(編/譯)者 : SILVERMAN 出版年份 : 2014 ISBN : 9781292027098 書號 : BX0145N 幾色 : 1 規格 : 平裝 發行公司 : PEARSON 英文書名中譯 : 數論學 版次 : 4E 頁數 : 480 Table of Contents: 1. What Is Number Theory? 2. Pythagorean Triples 3. Pythagorean Triples and the Unit Circle 4. Sums of Higher Powers and Fermat’s Last Theorem 5. Divisibility and the Greatest Common Divisor 6. Linear Equations and the Greatest Common Divisor 7. Factorization and the Fundamental Theorem of Arithmetic 8. Congruences 9. Congruences, Powers, and Fermat’s Little Theorem 10. Congruences, Powers, and Euler’s Formula 11. Euler’s Phi Function and the Chinese Remainder Theorem 12. Prime Numbers 13. Counting Primes 14. Mersenne Primes 15. Mersenne Primes and Perfect Numbers 16. Powers Modulo m and Successive Squaring 17. Computing kth Roots Modulo m 18. Powers, Roots, and “Unbreakable” Codes 19. Primality Testing and Carmichael Numbers 20. Squares Modulo p 21. Quadratic Reciprocity 22. Proof of Quadratic Reciprocity 23. Which Primes Are Sums of Two Squares? 24.Which Numbers Are Sums of Two Squares? 25. Euler’s Phi Function and Sums of Divisors 26. Powers Modulo p and Primitive Roots 27. Primitive Roots and Indices 28. The Equation X4 + Y4 = Z4 29. Square–Triangular Numbers Revisited 30. Pell’s Equation 31. Diophantine Approximation 32. Diophantine Approximation and Pell’s Equation 33. Number Theory and Imaginary Numbers 34. The Gaussian Integers and Unique Factorization 35. Irrational Numbers and Transcendental Numbers 36. Binomial Coefficients and Pascal’s Triangle 37. Fibonacci’s Rabbits and Linear Recurrence Sequences 38. Cubic Curves and Elliptic Curves 39. Elliptic Curves with Few Rational Points 40. Points on Elliptic Curves Modulo p 41. Torsion Collections Modulo p and Bad Primes 42. Defect Bounds and Modularity Patterns 43. Elliptic Curves and Fermat’s Last Theorem 44. The Topsy-Turvy World of Continud Fractions 45. Continued Fractions and Pell’s Equation 46. Generating Functions 47. Sums of Powers 48. Appendix: A List of Primes