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Formal Algorithmic Elimination for PDEs

Investigating the correspondence between systems of partial differential equations and their analytic solutions using a formal approach;

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Logic for Computer Science

for algorithmic construction of formal proofs. The self-contained treatment is also useful for computer scientists and mathematically inclined;

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Methods of Cut-Elimination

This is the first book on cut-elimination in first-order predicate logic from an algorithmic point of view. Instead of just proving the;

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Modeling and Reasoning with Bayesian Networks

in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.;

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Modeling and Reasoning with Bayesian Networks

in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.;

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Symmetry Analysis Of Differential Equati

elementary symmetry concepts and invariance, including methods for reducing the complexity of ODEs and PDEs in an effort to solve the associated;

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Reduced Basis Methods for Partial Differential Equations: An Introduction

This book provides a basic introduction to reduced basis (RB) methods for problems involving the repeated solution of partial differential;

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Boundary Control of PDEs

differential equations (PDEs). Backstepping provides mathematical tools for constructing coordinate transformations and boundary feedback laws for;

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Input-to-State Stability for PDEs

This book lays the foundation for the study of input-to-state stability (ISS) of partial differential equations (PDEs) predominantly of two;

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Spatiotemporal Modeling of Influenza

(MOL), an established general algorithm for PDEs. The presentation of the PDE modeling methodology is introductory with a minumum of formal;

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Spatiotemporal Modeling of Influenza

(MOL), an established general algorithm for PDEs. The presentation of the PDE modeling methodology is introductory with a minumum of formal;

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Algorithmic Algebra and Number Theory

This book contains 22 lectures presented at the final conference of the Ger man research program (Schwerpunktprogramm) Algorithmic Number;

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Algorithmic Mathematics

algorithms like the sieve of Eratosthenes, the Euclidean algorithm, sorting algorithms, algorithms on graphs, and Gaussian elimination, but also;

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Spatiotemporal Modeling of Influenza

. For the purposes of (1) and (2), a basic influenza model is formulated as a system of partial differential equations (PDEs) that define the;

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Introduction To Nonlinear Partial Differential Equations

Praise for the First Edition: This book is well conceived and well written. The author has succeeded in producing a text on nonlinear PDEs;

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Entropy Methods for Diffusive Partial Differential Equations

This book presents a range of entropy methods for diffusive PDEs devised by many researchers in the course of the past few decades, which;

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Mathematical Foundations of Computer Science 2011

selected from 129 submissions. Topics covered include algorithmic game theory, algorithmic learning theory, algorithms and data structures;

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Numerical Integration of Space Fractional Partial Differential Equations, Volume 1

Partial differential equations (PDEs) are one of the most used widely forms of mathematics in science and engineering. PDEs can have;

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Beyond Sobolev and Besov

on non smooth domains. Linear as well as nonlinear equations are considered and special attention is paid to PDEs of parabolic type. For the;

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Geometric Properties for Parabolic and Elliptic PDE's

PDEs, which was held in Cortona (Italy) during the week of May 20-24, 2019. This book will be of great interest for the mathematical community;

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Distribution Theory And Applications

in different mathematical disciplines, and also in physics. Convolution algebras, which are sufficient for the treatment of classical PDEs, are used;

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Partial Differential Equations for Geometric Design

The subject of Partial Differential Equations (PDEs) which first emerged in the 18th century holds an exciting and special position in the;

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Applied Functional Analysis And Partial Differential Equations

This book is an introduction to partial differential equations (PDEs) and the relevant functional analysis tools which they require. It;

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Normalization, Cut-Elimination & The Theory Of Proofs

Gentzen's cut-elimination theorem is widely used as a tool for meta-mathematical investigations. It is sometimes claimed however that the;

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Stochastic Partial Differential Equations

invariant measures for stochastic Navier-Stokes equations. The book concludes by pointing out the connection of stochastic PDEs to infinite;

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Nonlinear PDEs

This is an introductory textbook about nonlinear dynamics of PDEs, with a focus on problems over unbounded domains and modulation equations;

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Blow-up for Higher-Order Parabolic, Hyperbolic, Dispersion and Schrodinger Equations

Blow-up for Higher-Order Parabolic, Hyperbolic, Dispersion and Schroedinger Equations shows how four types of higher-order nonlinear;

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