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This book presents research from leading scholars throughout the world. Contents: Preface; Reduction Theory of Von Neumann Algebras in Real Case; Some Recent Results and Problems for Set-Valued Mappings; On (p, s)-Regularity of the Inversion Problem for the Sturm-Liouville Equation; Spaces of Functions Holomorphic in Convex Bounded Domains of C and Smooth Up to the Boundary; Weak Bilevel Programming Problems: Existence of Solutions; A Remark about the Shannon's Sampling Theorem; Quantum Integral Equations with Kernels of Quantum White Noise in Space and Time; On the Dependence Structure of a System of Components with a Multivariate Shot-Noise Hazard Rate Process; Global Exponential Stability and Periodic Solutions of Cellular Neural Networks (CNN's) with Delays; Some Remarks on the Charged Top; On a Transport Operator Arising in Growing Cell Populations Spectral Analysis; On Viscoelastic Fluids in Elongation; Fuzzy relational Model for Knowledge Processing and Decision Making; Index
This book explores new trends and developments in mathematics education research related to proof and proving, the implications of these trends and developments for theory and practice, and directions for future research. With contributions from researchers working in twelve different countries, the book brings also an international perspective to the discussion and debate of the state of the art in this important area. The book is organized around the following four themes, which reflect the breadth of issues addressed in the book: • Theme 1: Epistemological issues related to proof and proving; • Theme 2: Classroom-based issues related to proof and proving; • Theme 3: Cognitive and curricular issues related to proof and proving; and • Theme 4: Issues related to the use of examples in proof and proving. Under each theme there are four main chapters and a concluding chapter offering a commentary on the theme overall.
Discover theoretical, methodological, and applied perspectives on electron density studies and density functional theory Electron density or the single particle density is a 3D function even for a many-electron system. Electron density contains all information regarding the ground state and also about some excited states of an atom or a molecule. All the properties can be written as functionals of electron density, and the energy attains its minimum value for the true density. It has been used as the basis for a quantum chemical computational method called Density Functional Theory, or DFT, which can be used to determine various properties of molecules. DFT brings out a drastic reduction in computational cost due to its reduced dimensionality. Thus, DFT is considered to be the workhorse for modern computational chemistry, physics as well as materials science. Electron Density: Concepts, Computation and DFT Applications offers an introduction to the foundations and applications of electron density studies and analysis. Beginning with an overview of major methodological and conceptual issues in electron density, it analyzes DFT and its major successful applications. The result is a state-of-the-art reference for a vital tool in a range of experimental sciences. Readers will also find: A balance of fundamentals and applications to facilitate use by both theoretical and computational scientists Detailed discussion of topics including the Levy-Perdew-Sahni equation, the Kohn Sham Inversion problem, and more Analysis of DFT applications including the determination of structural, magnetic, and electronic properties Electron Density: Concepts, Computation and DFT Applications is ideal for academic researchers in quantum, theoretical, and computational chemistry and physics.
Advances in Mathematics Research presents original studies on the leading edge of mathematics. Each article has been carefully selected in an attempt to present substantial research results across a broad spectrum. Topics discussed include using mathematical tessellation to model spherical particle packing structures; further results on fractional calculus for non-differentiable functions applications to z-transform and generalized functions; low earth orbit satellite constellations for local telecommunication and monitoring services; algorithm for autonomously calibrating reference flat of interferometer and residual influence of linear shift with two-flat method; dealing with non-significant interactions statuses between treatments by a suggested statistical approach; stochastic simultaneous perturbation as powerful method for state and parameter estimation in high dimensional systems; bounded trajectories of unstable piecewise linear systems and its applications; mathematical modeling for predicting battery lifetime through electrical models; and mathematical modeling of the lithium-ion battery lifetime using system identification theory.