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Books in English / Все науки... / Математика

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Single Variable Calculus: Early Transcendentals

12042.00 руб.*

William L. Briggs, Lyle Cochran

Single Variable Calculus: Early Transcendentals

Drawing on their decades of teaching experience, William Briggs and Lyle Cochran have created a calculus text that carries the teacher’s voice beyond the classroom. That voice–evident in the narrative, the figures, and the questions interspersed in the narrative–is a master teacher leading readers to deeper levels of understanding. The authors appeal to readers’ geometric intuition to introduce fundamental concepts and lay the foundation for the more rigorous development that follows. Comprehensive exercise sets have received praise for their creativity, quality, and scope. Functions; Limits; Derivatives; Applications of the Derivative; Integration; Applications of Integration; Integration Techniques; Sequences and Infinite Series; Power Series; Parametric and Polar Curves. For all readers interested in single variable and multivariable calculus for mathematics, engineering, and science.
Tensor (intrinsic definition): Mathematics, Abstract Object, Linear Algebra, Multilinear Algebra, Homological Algebra, Physical Property, Tensor Product, Rank (linear algebra), Differentiable Manifold

3961.00 руб.*

Tensor (intrinsic definition): Mathematics, Abstract Object, Linear Algebra, Multilinear Algebra, Homological Algebra, Physical Property, Tensor Product, Rank (linear algebra), Differentiable Manifold

High Quality Content by WIKIPEDIA articles! In mathematics, the modern component-free approach to the theory of a tensor views a tensor as an abstract object, expressing some definite type of multi-linear concept. Their well-known properties can be derived from their definitions, as linear maps or more generally; and the rules for manipulations of tensors arise as an extension of linear algebra to multilinear algebra. In differential geometry an intrinsic geometric statement may be described by a tensor field on a manifold, and then doesn't need to make reference to coordinates at all. The same is true in general relativity, of tensor fields describing a physical property. The component-free approach is also used heavily in abstract algebra and homological algebra, where tensors arise naturally.
Square number: Mathematics, Square, Square Root, Exponentiation, Zeroth, Integer Square Root, Methods of Computing Square Roots, Quadratic Residue, Polygonal Number, Square Triangular Number

4543.00 руб.*

Square number: Mathematics, Square, Square Root, Exponentiation, Zeroth, Integer Square Root, Methods of Computing Square Roots, Quadratic Residue, Polygonal Number, Square Triangular Number

High Quality Content by WIKIPEDIA articles! In mathematics, a square number, sometimes also called a perfect square, is an integer that can be written as the square of some other integer; in other words, it is the product of some integer with itself. So, for example, 9 is a square number, since it can be written as 3 ? 3. Square numbers are non-negative. Another way of saying that a (non-negative) number is a square number, is that its square root is again an integer. For example, ?9 = 3, so 9 is a square number.
Representation Theory of the Lorentz Group: Half-Integer, Spinor, Riemann Sphere, Hypergeometric Series, Riemann's Differential Equation, Spherical Harmonics, Emission Spectrum, Complexification

4551.00 руб.*

Representation Theory of the Lorentz Group: Half-Integer, Spinor, Riemann Sphere, Hypergeometric Series, Riemann's Differential Equation, Spherical Harmonics, Emission Spectrum, Complexification

High Quality Content by WIKIPEDIA articles! According to general representation theory of Lie groups, one first looks for the representations of the complexification of the Lie algebra of the Lorentz group. A convenient basis for the Lie algebra of the Lorentz group is given by the three generators of rotations Jk=?ijkLij and the three generators of boosts Ki=Lit where i, j, and k run over the three spatial coordinates and ? is the Levi-Civita symbol for a three dimensional spatial slice of Minkowski space. Note that the three generators of rotations transform like components of a pseudovector J and the three generators of boosts transform like components of a vector K under the adjoint action of the spatial rotation subgroup. This motivates the following construction: first complexify, and then change basis to the components of A = (J + i K)/2 and B = (J ? i K)/2. In this basis, one checks that the components of A and B satisfy separately the commutation relations of the Lie algebra...
Applied Stochastic Finance (Applied Stochastic Methods Series)

16252.00 руб.*

P-C. G. Vassiliou

Applied Stochastic Finance (Applied Stochastic Methods Series)

Stochastic finance and financial engineering have been rapidly expanding fields of science over the past four decades, mainly due to the success of sophisticated quantitative methodologies in helping professionals manage financial risks. In recent years, we have witnessed a tremendous acceleration in research efforts aimed at better comprehending, modeling and hedging this kind of risk. These two volumes aim to provide a foundation course on applied stochastic finance. They are designed for three groups of readers: firstly, students of various backgrounds seeking a core knowledge on the subject of stochastic finance; secondly financial analysts and practitioners in the investment, banking and insurance industries; and finally other professionals who are interested in learning advanced mathematical and stochastic methods, which are basic knowledge in many areas, through finance. In Volume 2 we study continuous time models by presenting the necessary material from...
Reproducing Kernel Hilbert Space: Functional Analysis, Mathematics, Hilbert Space, Function Space, Bounded Operator, Complex Analysis, Quantum Mechanics, ... Riesz Representation Theorem, Hardy Space

4532.00 руб.*

Reproducing Kernel Hilbert Space: Functional Analysis, Mathematics, Hilbert Space, Function Space, Bounded Operator, Complex Analysis, Quantum Mechanics, ... Riesz Representation Theorem, Hardy Space

High Quality Content by WIKIPEDIA articles! In functional analysis (a branch of mathematics), a reproducing kernel Hilbert space is a Hilbert space of functions in which pointwise evaluation is a continuous linear functional. Equivalently, they are spaces that can be defined by reproducing kernels. The subject was originally and simultaneously developed by Nachman Aronszajn (1907?1980) and Stefan Bergman (1895?1977) in 1950. In this article we assume that Hilbert spaces are complex. The main reason for this is that many of the examples of reproducing kernel Hilbert spaces are spaces of analytic functions, although some real Hilbert spaces also have reproducing kernels.
Geometry Revealed: A Jacob's Ladder to Modern Higher Geometry

10096.00 руб.*

Marcel Berger

Geometry Revealed: A Jacob's Ladder to Modern Higher Geometry

Both classical geometry and modern differential geometry have been active subjects of research throughout the 20th century and lie at the heart of many recent advances in mathematics and physics. The underlying motivating concept for the present book is that it offers readers the elements of a modern geometric culture by means of a whole series of visually appealing unsolved (or recently solved) problems that require the creation of concepts and tools of varying abstraction. Starting with such natural, classical objects as lines, planes, circles, spheres, polygons, polyhedra, curves, surfaces, convex sets, etc., crucial ideas and above all abstract concepts needed for attaining the results are elucidated. These are conceptual notions, each built "above" the preceding and permitting an increase in abstraction, represented metaphorically by Jacob's ladder with its rungs: the 'ladder' in the Old Testament, that angels ascended and descended... In all this, the aim of the book is to...
Regular Polyhedron: Polyhedron, Congruence, Regular Polygon, Vertex, Isotoxal Figure, Isogonal Figure, Isohedral Figure, Flag, Schlafli Symbol, Star Polyhedron, Kepler?Poinsot Polyhedron

3947.00 руб.*

Regular Polyhedron: Polyhedron, Congruence, Regular Polygon, Vertex, Isotoxal Figure, Isogonal Figure, Isohedral Figure, Flag, Schlafli Symbol, Star Polyhedron, Kepler?Poinsot Polyhedron

High Quality Content by WIKIPEDIA articles! A regular polyhedron is a polyhedron whose faces are congruent regular polygons which are assembled in the same way around each vertex. A regular polyhedron is highly symmetrical, being all of edge-transitive, vertex-transitive and face-transitive - i.e. it is transitive on its flags. This last alone is a sufficient definition. A regular polyhedron is identified by its Schlafli symbol of the form {n, m}, where n is the number of sides of each face and m the number of faces meeting at each vertex.
Industrial Commodity Statistics Yearbook 1999 / De statistiques industrielles par produit Annuaire 1999

3902.00 руб.*

Industrial Commodity Statistics Yearbook 1999 / De statistiques industrielles par produit Annuaire 1999

Symbols of United Nations documents are composed of capital letters combined with figures. General disclaimer: The designations employed and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. Where the designation "country or area" appears in the headings of tables, it covers countries, territories, cities or areas. In prior issues of this publication, where the designation "country" appears in the headings of tables, it should be interpreted to cover countries, territories, cities or areas. Формат: 22 см х 28,5 см.
Principle of Maximum Entropy: Bayesian Probability, Axiom, Probability Distribution, Entropy, Information, Statistical Mechanics, Information Theory

4032.00 руб.*

Principle of Maximum Entropy: Bayesian Probability, Axiom, Probability Distribution, Entropy, Information, Statistical Mechanics, Information Theory

High Quality Content by WIKIPEDIA articles! In subjectivist probability, the principle of maximum entropy is a postulate which states that, subject to known constraints (called testable information), the probability distribution which best represents the current state of knowledge is the one with largest entropy. Let some testable information about a probability distribution function be given. Consider the set of all trial probability distributions that encode this information. Then, the probability distribution that maximizes the information entropy is the true probability distribution with respect to the testable information prescribed.


Books in English / Все науки... / Математика

 

 

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