The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines.
This work brings together two streams in computer algebra: symbolic integration and summation on the one hand, and fast algorithmics on the other hand.
Our purpose in writing this book was to provide a compendium of stochastic optimizationtechniques,someguidesto wheneachisappropriateinpractical situations, and a few useful ways of thinking about optimization as a p- cess of search in some very rich con?
The International Conference on Computational Science (ICCS 2004) held in Krak' ow, Poland, June 6-9, 2004, was a follow-up to the highly successful ICCS 2003 held at two locations, in Melbourne, Australia and St.
This text describes computer programs for simulating phenomena in hydro- dynamics, gas dynamics, and elastic plastic flow in one, two, and three dimen- sions.
Deeply rooted in fundamental research in Mathematics and Computer Science, Cellular Automata (CA) are recognized as an intuitive modeling paradigm for Complex Systems.
The astonishingly rapid development of the Large-Eddy Simulation technique during the last two or three years, both from the theoretical and applied points of view, have rendered the first edition of this book lacunary in some ways.
This volume contains the 74 contributed papers and abstracts of 4 of the 5 invited talks presented at the 10th Annual European Symposium on Algorithms (ESA 2002), held at the University of Rome "e;La Sapienza"e;, Rome, Italy, 17-21 September, 2002.
This book is designed for graduate students to acquire knowledge of simplicial complexes, Dimension Theory, ANR Theory (Theory of Retracts), and related topics.
The aim of this volume, Functional Equations and Ulam’s Problem, is to publish a well-balanced collection of works devoted to the domain of functional equations with emphasis on stability results associated with Ulam’s problem for approximate homomorphisms.
The aim of this volume, Functional Equations and Ulam’s Problem, is to publish a well-balanced collection of works devoted to the domain of functional equations with emphasis on stability results associated with Ulam’s problem for approximate homomorphisms.
This book is designed as an introduction to neural dynamics through an intuitive exploration of fundamental "e;dynamic motifs"e;- the recurring dynamical concepts essential for understanding computational neuroscience.
This book is designed as an introduction to neural dynamics through an intuitive exploration of fundamental "e;dynamic motifs"e;- the recurring dynamical concepts essential for understanding computational neuroscience.
The progress made in the CFD field mandates a review of new trends and directions, and this volume covers some of the significant contributions made in the last decade in a large number of branches of CFD.
The progress made in the CFD field mandates a review of new trends and directions, and this volume covers some of the significant contributions made in the last decade in a large number of branches of CFD.
This book is designed for graduate students to acquire knowledge of simplicial complexes, Dimension Theory, ANR Theory (Theory of Retracts), and related topics.
This book explores advanced mathematical computational algorithms in artificial intelligence and robotics, with a focus on areas such as machine learning, optimization, and digital simulations.
This book explores advanced mathematical computational algorithms in artificial intelligence and robotics, with a focus on areas such as machine learning, optimization, and digital simulations.
Dieses Buch bietet eine umfassende Darstellung der Didaktik der Analysis unter Berücksichtigung der aktuellen didaktischen Diskussion, theoretischer Konzepte, praktischer Unterrichtserfahrungen und der Bildungsstandards der Kultusministerkonferenz.
This book constitutes the refereed proceedings of the 20th International Conference and Workshops on Algorithms and Computation, WALCOM 2026, held in Perugia, Italy, on March 4–6, 2026.
This book constitutes the refereed proceedings of the 20th International Conference and Workshops on Algorithms and Computation, WALCOM 2026, held in Perugia, Italy, on March 4–6, 2026.
This book begins by exploring the fundamental concepts of dynamical systems and machine learning modeling, elucidating the workflow of these two modeling approaches.
This book begins by exploring the fundamental concepts of dynamical systems and machine learning modeling, elucidating the workflow of these two modeling approaches.
Mastering ordinary differential equations (ODE) is crucial for success in numerous fields of science and engineering, as these powerful mathematical tools are indispensable for modeling and understanding the world around us.
This book provides an introduction to frame theory in Banach and Hilbert spaces, with a particular focus on the Banach space aspects of the frame theory and its applications.
Mastering ordinary differential equations (ODE) is crucial for success in numerous fields of science and engineering, as these powerful mathematical tools are indispensable for modeling and understanding the world around us.
This book provides an introduction to frame theory in Banach and Hilbert spaces, with a particular focus on the Banach space aspects of the frame theory and its applications.
Mastering ordinary differential equations (ODE) is crucial for success in numerous fields of science and engineering, as these powerful mathematical tools are indispensable for modeling and understanding the world around us.
Mastering ordinary differential equations (ODE) is crucial for success in numerous fields of science and engineering, as these powerful mathematical tools are indispensable for modeling and understanding the world around us.
This thesis introduces Auto-BENEDICT, a novel, fully automated methodology designed to generate human-comprehensible causal explanations for model-free Reinforcement Learning (RL) agents.
This thesis introduces Auto-BENEDICT, a novel, fully automated methodology designed to generate human-comprehensible causal explanations for model-free Reinforcement Learning (RL) agents.
