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  • A Derivative-free Two Level Random Search Method for Unconstrained Optimization

    Series series Mathematics and Statistics (R0)
    The book is intended for graduate students and researchers in mathematics, computer science, and operational research. The book presents a new derivative-free optimization method/algorithm based on randomly generated trial points in specified domains and where the best ones are selected at each iteration by using a number of rules. This method is different from many other well established methods ... Read more

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  • Modern Numerical Nonlinear Optimization

    Series series Mathematics and Statistics (R0)
    This book includes a thorough theoretical and computational analysis of unconstrained and constrained optimization algorithms and combines and integrates the most recent techniques and advanced computational linear algebra methods. Nonlinear optimization methods and techniques have reached their maturity and an abundance of optimization algorithms are available for which both the convergence ... Read more

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  • Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

    Series series Mathematics and Statistics (R0)
    Two approaches are known for solving large-scale unconstrained optimization problems—the limited-memory quasi-Newton method (truncated Newton method) and the conjugate gradient method. This is the first book to detail conjugate gradient methods, showing their properties and convergence characteristics as well as their performance in solving large-scale unconstrained optimization problems and ... Read more

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  • Nonlinear Optimization Applications Using the GAMS Technology

    Series series Mathematics and Statistics (R0)
    The purpose of this book is to develop a wide collection of nonlinear optimization applications from the real-world expressed in the GAMS (General Algebraic Modeling System) language. The book is designed to present these applications in a very general form in such a way so that they could be very easily and quickly understood, updated, or modified to represent real situations from the real-world ... Read more

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  • Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

    Series series Mathematics and Statistics (R0)
    This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization applications imbedded in GAMS. Aimed toward scientists and graduate students who utilize optimization methods to model and solve problems in mathematical programming, operations research, business, engineering, and industry, this book enables readers with a ... Read more

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    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    This book is a foundational guide to graph representation learning, including state-of-the art advances, and introduces the highly successful graph neural network (GNN) formalism.Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for ... Read more

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  • Computer Aided Verification

    33rd International Conference, CAV 2021, Virtual Event, July 20–23, 2021, Proceedings, Part I

    Series Book 1 - Springer Nature Proceedings Computer Science
    This open access two-volume set LNCS 12759 and 12760 constitutes the refereed proceedings of the 33rd International Conference on Computer Aided Verification, CAV 2021, held virtually in July 2021.The 63 full papers presented together with 16 tool papers and 5 invited papers were carefully reviewed and selected from 290 submissions. The papers were organized in the following topical sections:Part ... Read more

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  • Tools and Algorithms for the Construction and Analysis of Systems

    25th International Conference, TACAS 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Prague, Czech Republic, April 6–11, 2019, Proceedings, Part II

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    Series Book 2 - Springer Nature Proceedings Computer Science
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    Proceedings of the Second International Conference on Network Analysis

    Series series Springer Nature Proceedings excluding Computer Science
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  • Sparse Coding And Its Applications In Computer Vision

    This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety of applications of sparse coding are discussed, ranging from low-level image processing tasks ... Read more

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  • Capturing Connectivity and Causality in Complex Industrial Processes

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