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Results 1311-1320 of 1488 (Search time: 0.076 seconds).
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  • Sách/Book

  • Convex Analysis

    • Authors: Ralph Tyrell Rockafellar (1970)

  • Available for the first time in paperback, R. Tyrrell Rockafellar's classic study presents readers with a coherent branch of nonlinear mathematical analysis that is especially suited to the study of optimization problems. Rockafellar's theory differs from classical analysis in that differentiability assumptions are replaced by convexity assumptions.
  • Sách/Book

  • Lecture Notes in Economics and Mathematical Systems: Operations Research, Computer Science, Social Science

    • Authors: M. Beckmann (1972)

  • Girsanov's book fills this gap. It contains a systematic exposition of the general principles underlying the derivation of necessary and sufficient conditions for an extremum, in a wide variety of problems. Numerous applications are given to specific extremal problems. The main material is preceded by an introductory section in which all prerequisites from functional analysis are presented.
  • Sách/Book

  • Probability: A Graduate Course : a Graduate Course

    • Authors: Allan Gut (2013)

  • The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by a thorough treatment of the three main subjects in probability theory: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales. The new edition is comprehensively updated, including some new material as well as around a dozen new references
  • Sách/Book

  • Ordinary differential equations

    • Authors: L. S. Pontri︠a︡gin (1962)

  • The book is designed to serve as a first course in differential equations. Importance is given to the linear equation with constant coefficients; stability theory; use of matrices and linear algebra; and the introduction to the Lyapunov theory. Engineering problems such as the Watt regulator for a steam engine and the vacuum-tube circuit are also presented.
  • Sách/Book

  • Giải tích lồi

    • Authors: Đỗ Văn Lưu (2000)

  • Trình bày các kiến thức về tập lồi và nón lồi trong không gian lồi địa phương và trong không gian hữu chiều. Nghiên cứu hàm lồi, các phép toán về hàm lồi, trình bày các định lý tách cơ bản, các tính chất của hàm liên hợp
  • Sách/Book

  • AI in the financial markets : new algorithms and solutions

    • Authors: Federico Cecconi (2023)

  • This book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications. In turn, the second part explores AI models in financial markets: both regarding applications that are already available (e.g. the blockchain supply chain, learning through big data, understanding natural language, or the valuation of complex bonds) and more futuristic solutions (e.g. models based on artificial agents that interact by buying and selling stocks within simulated worlds).
  • Sách/Book

  • Mathematics of physics and modern engineering

    • Authors: Ivan Stephen Sokolnikoff (1958)

  • Filled with helpful examples, tables, and illustrations, this edition of Practical Electrical Wiring gives you recommended shortcuts, solutions to problems, and safety "musts" to help you do every job right the first time, with complete confidence.
  • Sách/Book

  • Integer and Combinatorial Optimization

    • Authors: Laurence A. Wolsey (1999)

  • This book provides an excellent introduction and survey of traditional fields of combinatorial optimization ... It is indeed one of the best and most complete texts on combinatorial optimization ... available. [And] with more than 700 entries, [it] has quite an exhaustive reference list.""--Optima""A unifying approach to optimization problems is to formulate them like linear programming problems, while restricting some or all of the variables to the integers
  • Sách/Book

  • Introduction to Computer Science

    • Authors: Jean-Claude Franchitti (2025)

  • Introduction to Computer Science provides a comprehensive foundation in core computer science concepts and principles, aligning with the scope and sequence of most introductory computer science courses. The offering serves as an engaging entry point for students pursuing diverse fields of study and employment, including computer science, business, engineering, data science, social sciences, and related disciplines.