Perfect for migrating to Java from a fellow object-oriented language (such as C++), the 3rd edition of Thinking in Java continues the earlier version's thoughtful approach to learning Java inside and out, while also bringing it up to speed with some of the latest in Java 2 features. This massive tutorial covers many of the nooks and crannies of the language, which is of great value in the programming world.
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The C Programming Language: Special Edition (3rd Edition) Downloads Torrent
C Programming in easy steps 5th edition book offers an easy-to-follow style that appeals everyone. It is especially suited for someone who wants to begin programming in C. It is also a preferred choice for those who is studying C programming at school or universities.
This is a second edition of computer fundamentals and programming book written by Reema Thareja. It is a specially designed textbook for students of engineering, computer science, and computer applications.
This is a thoroughly rewritten version of the 1999 2nd edition of our best-selling nonlinear programming book. New material was included, some of the old material was discarded, and a large portion of the remainder was reorganized or revised. The number of pages has increased by about 100.The book provides a comprehensive and accessible presentation of algorithms for solving continuous optimization problems. It relies on rigorous mathematical analysis, but also aims at an intuitive exposition that makes use of visualization where possible. It places particular emphasis on modern developments, and their widespread applications in fields such as large-scale resource allocation problems, signal processing, and machine learning. The 3rd edition brings thebook in closer harmony with the companion works Convex Optimization Theory (AthenaScientific, 2009), Convex Optimization Algorithms (AthenaScientific, 2015), Convex Analysis and Optimization (AthenaScientific, 2003), and Network Optimization (AthenaScientific, 1998). These works are complementary in that they deal primarily with convex, possibly nondifferentiable, optimization problems and rely on convex analysis. By contrast the nonlinear programming book focuses primarily on analytical and computational methods for possibly nonconvex differentiable problems. It relies primarily on calculus and variational analysis, yet it still contains a detailed presentation of duality theory and its uses for both convex and nonconvex problems. Among its special features, the book: Provides extensive coverage of iterative optimization methods within a unifying framework Covers in depth duality theory from both a variational and a geometric point of view Provides a detailed treatment of interior point methods for linear programming Includes much new material on a number of topics, such as proximal algorithms, alternating direction methods of multipliers, and conic programming Focuses on large-scale optimization topics of much current interest, such as first order methods, incremental methods, and distributed asynchronous computation, and their applications in machine learning, signal processing, neural network training, and big data applications Includes a large number of examples and exercises Was developed through extensive classroom use in first-year graduate courses From the review by Olvi Mangasarian (Optima, March 1997):"This is a beautifully written book by a prolific author ... who has takenpainstaking care in making the presentation extremely lucid ... The style isunhurried and intuitive yet mathematically rigorous." "The numerous figures in the book are extremely well thought out and areused in a very effective way to elucidate the text. The detailed andself-explanatory long captions accompanying each figure are extremelyhelpful." "The 80 pages constituting the four appendixes serve as a masterfullywritten introduction to the field of nonlinear programming that can be usedas a self-contained monograph. Teachers using this book could easily assignthese appendixes as introductory or remedial material." 2ff7e9595c
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