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Teaching Mathematics is nothing less than a mathematical manifesto. Arising in response to a limited National Curriculum, and engaged with secondary schooling for those aged 11 ̶ 14 (Key Stage 3) in particular, this handbook for teachers will help them broaden and enrich their students’ mathematical education. It avoids specifying how to teach, and focuses instead on the central principles and concepts that need to be borne in mind by all teachers and textbook authors—but which are little appreciated in the UK at present. This study is aimed at anyone who would like to think more deeply about the discipline of ‘elementary mathematics’, in England and Wales and anywhere else. By analysing and supplementing the current curriculum, Teaching Mathematics provides food for thought for all those involved in school mathematics, whether as aspiring teachers or as experienced professionals. It challenges us all to reflect upon what it is that makes secondary school mathematics educationally, culturally, and socially important.
Mathematics --- Study and teaching (Secondary) --- key stage 3 --- mathematics --- teaching --- secondary education --- principles and concepts --- secondary school --- Arithmetic --- Fraction (mathematics) --- Geometry --- Integer --- Line (geometry) --- Prime number --- Rectangle
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In this work, an optimization model (MILP) for the energetic refurbishment planning of buildings is developed. It provides decision support for owner-occupiers and/or landlords. The approach considers simultaneously the selection of refurbishment measures, the operation of energy supply technologies (incl. CHP/PV), and the financing structure from an economic point of view. The evaluation scheme is based on a visualization of financial implications and factors public funds into the analysis.
Wohngebäude --- Techno-ökonomische Planung --- Energetische Modernisierung --- Residential buildings --- Vollständige Finanzplanung --- Gemischt-ganzzahlige lineare OptimierungEnergetic refurbishment --- Visualization of Financial Implications --- Mixed-integer linear programming --- Techno-economic planning
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The theory of exterior differential systems provides a framework for systematically addressing the typically non-linear, and frequently overdetermined, partial differential equations that arise in differential geometry. Adaptation of the techniques of microlocalization to differential systems have led to recent activity on the foundations of the theory; in particular, the fundamental role of the characteristic variety in geometric problems is now clearly established. In this book the general theory is explained in a relatively quick and concrete manner, and then this general theory is applied to the recent developments in the classical problem of isometric embeddings of Riemannian manifolds.
Exterior differential systems. --- Differential equations, Partial. --- Embeddings (Mathematics) --- Riemannian manifolds. --- American Mathematical Society. --- Combination. --- Descriptive geometry. --- Embedding. --- Geometry. --- Integer. --- Mathematics. --- Mechanical engineering. --- Subgroup. --- Theorem. --- Theory.
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Linear and integer programming are fundamental toolkits for data and information science and technology, particularly in the context of today’s megatrends toward statistical optimization, machine learning, and big data analytics. Drawn from over 30 years of classroom teaching and applied research experience, this textbook provides a crisp and practical introduction to the basics of linear and integer programming. The authors’ approach is accessible to students from all fields of engineering, including operations research, statistics, machine learning, control system design, scheduling, formal verification, and computer vision. Readers will learn to cast hard combinatorial problems as mathematical programming optimizations, understand how to achieve formulations where the objective and constraints are linear, choose appropriate solution methods, and interpret results appropriately. •Provides a concise introduction to linear and integer programming, appropriate for undergraduates, graduates, a short course or boot camp, or self-learning; •Targets not only computer scientists and engineers, but those in management science and operations research as well; •Emphasizes basics and intuitive concepts, and gives corresponding numerical examples; •Includes exercises to test and reinforce the concepts introduced, along with a website containing additional material matched to the book’s contents.
Engineering. --- Computer science --- Applied mathematics. --- Engineering mathematics. --- Electronic circuits. --- Circuits and Systems. --- Math Applications in Computer Science. --- Appl.Mathematics/Computational Methods of Engineering. --- Applications of Mathematics. --- Mathematics. --- Electron-tube circuits --- Engineering --- Engineering analysis --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Construction --- Mathematics --- Systems engineering. --- Computer science. --- Mathematical and Computational Engineering. --- Computer science—Mathematics. --- Mathematical analysis --- Electric circuits --- Electron tubes --- Electronics --- Linear programming. --- Integer porgramming.
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This book opens the door to multiobjective optimization for students in fields such as engineering, management, economics and applied mathematics. It offers a comprehensive introduction to multiobjective optimization, with a primary emphasis on multiobjective linear programming and multiobjective integer/mixed integer programming. A didactic book, it is mainly intended for undergraduate and graduate students, but can also be useful for researchers and practitioners. Further, it is accompanied by an interactive software package - developed by the authors for Windows platforms - which can be used for teaching and decision-making support purposes in multiobjective linear programming problems. Thus, besides the textbook’s coverage of the essential concepts, theory and methods, complemented with illustrative examples and exercises, the computational tool enables students to experiment and enhance their technical skills, as well as to capture the essential characteristics of real-world problems.
Business. --- Operations research. --- Decision making. --- Management science. --- Business and Management. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Quantitative business analysis --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Operational analysis --- Operational research --- Trade --- Decision making --- Operations Research/Decision Theory. --- Industrial engineering --- Management science --- Research --- System theory --- Integer programming. --- Linear programming. --- Production scheduling --- Programming (Mathematics) --- Problem solving --- Operations research --- Statistical decision --- Choice (Psychology)
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We use addition on a daily basis-yet how many of us stop to truly consider the enormous and remarkable ramifications of this mathematical activity? Summing It Up uses addition as a springboard to present a fascinating and accessible look at numbers and number theory, and how we apply beautiful numerical properties to answer math problems. Mathematicians Avner Ash and Robert Gross explore addition's most basic characteristics as well as the addition of squares and other powers before moving onward to infinite series, modular forms, and issues at the forefront of current mathematical research.Ash and Gross tailor their succinct and engaging investigations for math enthusiasts of all backgrounds. Employing college algebra, the first part of the book examines such questions as, can all positive numbers be written as a sum of four perfect squares? The second section of the book incorporates calculus and examines infinite series-long sums that can only be defined by the concept of limit, as in the example of 1+1/2+1/4+. . .=? With the help of some group theory and geometry, the third section ties together the first two parts of the book through a discussion of modular forms-the analytic functions on the upper half-plane of the complex numbers that have growth and transformation properties. Ash and Gross show how modular forms are indispensable in modern number theory, for example in the proof of Fermat's Last Theorem.Appropriate for numbers novices as well as college math majors, Summing It Up delves into mathematics that will enlighten anyone fascinated by numbers.
Number theory. --- Mathematics --- Number study --- Numbers, Theory of --- Algebra --- Absolute value. --- Addition. --- Analytic continuation. --- Analytic function. --- Automorphic form. --- Axiom. --- Bernoulli number. --- Big O notation. --- Binomial coefficient. --- Binomial theorem. --- Book. --- Calculation. --- Chain rule. --- Coefficient. --- Complex analysis. --- Complex number. --- Complex plane. --- Computation. --- Congruence subgroup. --- Conjecture. --- Constant function. --- Constant term. --- Convergent series. --- Coprime integers. --- Counting. --- Cusp form. --- Determinant. --- Diagram (category theory). --- Dirichlet series. --- Division by zero. --- Divisor. --- Elementary proof. --- Elliptic curve. --- Equation. --- Euclidean geometry. --- Existential quantification. --- Exponential function. --- Factorization. --- Fourier series. --- Function composition. --- Fundamental domain. --- Gaussian integer. --- Generating function. --- Geometric series. --- Geometry. --- Group theory. --- Hecke operator. --- Hexagonal number. --- Hyperbolic geometry. --- Integer factorization. --- Integer. --- Line segment. --- Linear combination. --- Logarithm. --- Mathematical induction. --- Mathematician. --- Mathematics. --- Matrix group. --- Modular form. --- Modular group. --- Natural number. --- Non-Euclidean geometry. --- Parity (mathematics). --- Pentagonal number. --- Periodic function. --- Polynomial. --- Power series. --- Prime factor. --- Prime number theorem. --- Prime number. --- Pythagorean theorem. --- Quadratic residue. --- Quantity. --- Radius of convergence. --- Rational number. --- Real number. --- Remainder. --- Riemann surface. --- Root of unity. --- Scientific notation. --- Semicircle. --- Series (mathematics). --- Sign (mathematics). --- Square number. --- Square root. --- Subgroup. --- Subset. --- Sum of squares. --- Summation. --- Taylor series. --- Theorem. --- Theory. --- Transfinite number. --- Triangular number. --- Two-dimensional space. --- Unique factorization domain. --- Upper half-plane. --- Variable (mathematics). --- Vector space.
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Elements of Mathematics takes readers on a fascinating tour that begins in elementary mathematics-but, as John Stillwell shows, this subject is not as elementary or straightforward as one might think. Not all topics that are part of today's elementary mathematics were always considered as such, and great mathematical advances and discoveries had to occur in order for certain subjects to become "elementary." Stillwell examines elementary mathematics from a distinctive twenty-first-century viewpoint and describes not only the beauty and scope of the discipline, but also its limits.From Gaussian integers to propositional logic, Stillwell delves into arithmetic, computation, algebra, geometry, calculus, combinatorics, probability, and logic. He discusses how each area ties into more advanced topics to build mathematics as a whole. Through a rich collection of basic principles, vivid examples, and interesting problems, Stillwell demonstrates that elementary mathematics becomes advanced with the intervention of infinity. Infinity has been observed throughout mathematical history, but the recent development of "reverse mathematics" confirms that infinity is essential for proving well-known theorems, and helps to determine the nature, contours, and borders of elementary mathematics.Elements of Mathematics gives readers, from high school students to professional mathematicians, the highlights of elementary mathematics and glimpses of the parts of math beyond its boundaries.
Mathematics --- Math --- Science --- Study and teaching (Higher) --- Abstract algebra. --- Addition. --- Algebra. --- Algebraic equation. --- Algebraic number. --- Algorithm. --- Arbitrarily large. --- Arithmetic. --- Axiom. --- Binomial coefficient. --- Bolzano–Weierstrass theorem. --- Calculation. --- Cantor's diagonal argument. --- Church–Turing thesis. --- Closure (mathematics). --- Coefficient. --- Combination. --- Combinatorics. --- Commutative property. --- Complex number. --- Computable number. --- Computation. --- Constructible number. --- Continuous function (set theory). --- Continuous function. --- Continuum hypothesis. --- Dedekind cut. --- Dirichlet's approximation theorem. --- Divisibility rule. --- Elementary function. --- Elementary mathematics. --- Equation. --- Euclidean division. --- Euclidean geometry. --- Exponentiation. --- Extended Euclidean algorithm. --- Factorization. --- Fibonacci number. --- Floor and ceiling functions. --- Fundamental theorem of algebra. --- Fundamental theorem. --- Gaussian integer. --- Geometric series. --- Geometry. --- Gödel's incompleteness theorems. --- Halting problem. --- Infimum and supremum. --- Integer factorization. --- Integer. --- Least-upper-bound property. --- Line segment. --- Linear algebra. --- Logic. --- Mathematical induction. --- Mathematician. --- Mathematics. --- Method of exhaustion. --- Modular arithmetic. --- Natural number. --- Non-Euclidean geometry. --- Number theory. --- Pascal's triangle. --- Peano axioms. --- Pigeonhole principle. --- Polynomial. --- Predicate logic. --- Prime factor. --- Prime number. --- Probability theory. --- Probability. --- Projective line. --- Pure mathematics. --- Pythagorean theorem. --- Ramsey theory. --- Ramsey's theorem. --- Rational number. --- Real number. --- Real projective line. --- Rectangle. --- Reverse mathematics. --- Robinson arithmetic. --- Scientific notation. --- Series (mathematics). --- Set theory. --- Sign (mathematics). --- Significant figures. --- Special case. --- Sperner's lemma. --- Subset. --- Successor function. --- Summation. --- Symbolic computation. --- Theorem. --- Time complexity. --- Turing machine. --- Variable (mathematics). --- Vector space. --- Word problem (mathematics). --- Word problem for groups. --- Zermelo–Fraenkel set theory.
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There is a sympathy of ideas among the fields of knot theory, infinite discrete group theory, and the topology of 3-manifolds. This book contains fifteen papers in which new results are proved in all three of these fields. These papers are dedicated to the memory of Ralph H. Fox, one of the world's leading topologists, by colleagues, former students, and friends.In knot theory, papers have been contributed by Goldsmith, Levine, Lomonaco, Perko, Trotter, and Whitten. Of these several are devoted to the study of branched covering spaces over knots and links, while others utilize the braid groups of Artin.Cossey and Smythe, Stallings, and Strasser address themselves to group theory. In his contribution Stallings describes the calculation of the groups In/In+1 where I is the augmentation ideal in a group ring RG. As a consequence, one has for each k an example of a k-generator l-relator group with no free homomorphs. In the third part, papers by Birman, Cappell, Milnor, Montesinos, Papakyriakopoulos, and Shalen comprise the treatment of 3-manifolds. Milnor gives, besides important new results, an exposition of certain aspects of our current knowledge regarding the 3- dimensional Brieskorn manifolds.
Knot theory. --- Group theory. --- Three-manifolds (Topology) --- 3-manifold. --- 3-sphere. --- Additive group. --- Alexander duality. --- Algebraic equation. --- Algebraic surface. --- Algebraic variety. --- Automorphic form. --- Automorphism. --- Big O notation. --- Bilinear form. --- Borromean rings. --- Boundary (topology). --- Braid group. --- Cartesian product. --- Central series. --- Chain rule. --- Characteristic polynomial. --- Coefficient. --- Cohomological dimension. --- Commutative ring. --- Commutator subgroup. --- Complex Lie group. --- Complex coordinate space. --- Complex manifold. --- Complex number. --- Conjugacy class. --- Connected sum. --- Coprime integers. --- Coset. --- Counterexample. --- Cyclic group. --- Dedekind domain. --- Diagram (category theory). --- Diffeomorphism. --- Disjoint union. --- Divisibility rule. --- Double coset. --- Equation. --- Equivalence class. --- Euler characteristic. --- Fiber bundle. --- Finite group. --- Fundamental group. --- Generating set of a group. --- Graded ring. --- Graph product. --- Group ring. --- Groupoid. --- Heegaard splitting. --- Holomorphic function. --- Homeomorphism. --- Homological algebra. --- Homology (mathematics). --- Homology sphere. --- Homomorphism. --- Homotopy group. --- Homotopy sphere. --- Homotopy. --- Hurewicz theorem. --- Infimum and supremum. --- Integer matrix. --- Integer. --- Intersection number (graph theory). --- Intersection theory. --- Knot group. --- Knot polynomial. --- Loop space. --- Main diagonal. --- Manifold. --- Mapping cylinder. --- Mathematical induction. --- Meromorphic function. --- Monodromy. --- Monomorphism. --- Multiplicative group. --- Permutation. --- Poincaré conjecture. --- Principal ideal domain. --- Proportionality (mathematics). --- Quotient space (topology). --- Riemann sphere. --- Riemann surface. --- Seifert fiber space. --- Simplicial category. --- Special case. --- Spectral sequence. --- Subgroup. --- Submanifold. --- Surjective function. --- Symmetric group. --- Symplectic matrix. --- Theorem. --- Three-dimensional space (mathematics). --- Topology. --- Torus knot. --- Triangle group. --- Variable (mathematics). --- Weak equivalence (homotopy theory).
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This book is concerned with two areas of mathematics, at first sight disjoint, and with some of the analogies and interactions between them. These areas are the theory of linear differential equations in one complex variable with polynomial coefficients, and the theory of one parameter families of exponential sums over finite fields. After reviewing some results from representation theory, the book discusses results about differential equations and their differential galois groups (G) and one-parameter families of exponential sums and their geometric monodromy groups (G). The final part of the book is devoted to comparison theorems relating G and G of suitably "corresponding" situations, which provide a systematic explanation of the remarkable "coincidences" found "by hand" in the hypergeometric case.
Exponential sums. --- Differential equations. --- Adjoint representation. --- Algebraic geometry. --- Algebraic integer. --- Algebraically closed field. --- Automorphism. --- Base change. --- Bernard Dwork. --- Big O notation. --- Bijection. --- Calculation. --- Characteristic polynomial. --- Codimension. --- Coefficient. --- Cohomology. --- Comparison theorem. --- Complex manifold. --- Conjugacy class. --- Connected component (graph theory). --- Convolution. --- Determinant. --- Diagram (category theory). --- Differential Galois theory. --- Differential equation. --- Dimension (vector space). --- Dimension. --- Direct sum. --- Divisor. --- Eigenvalues and eigenvectors. --- Endomorphism. --- Equation. --- Euler characteristic. --- Existential quantification. --- Exponential sum. --- Fiber bundle. --- Field of fractions. --- Finite field. --- Formal power series. --- Fourier transform. --- Fundamental group. --- Fundamental representation. --- Galois extension. --- Galois group. --- Gauss sum. --- Generic point. --- Group theory. --- Homomorphism. --- Hypergeometric function. --- Identity component. --- Identity element. --- Integer. --- Irreducibility (mathematics). --- Irreducible representation. --- Isogeny. --- Isomorphism class. --- L-function. --- Laurent polynomial. --- Lie algebra. --- Logarithm. --- Mathematical induction. --- Matrix coefficient. --- Maximal compact subgroup. --- Maximal torus. --- Mellin transform. --- Monic polynomial. --- Monodromy theorem. --- Monodromy. --- Monomial. --- Natural number. --- Normal subgroup. --- P-adic number. --- Permutation. --- Polynomial. --- Prime number. --- Pullback. --- Quotient group. --- Reductive group. --- Regular singular point. --- Representation theory. --- Ring homomorphism. --- Root of unity. --- Scientific notation. --- Set (mathematics). --- Sheaf (mathematics). --- Special case. --- Subcategory. --- Subgroup. --- Subring. --- Subset. --- Summation. --- Surjective function. --- Symmetric group. --- Tensor product. --- Theorem. --- Theory. --- Three-dimensional space (mathematics). --- Torsor (algebraic geometry). --- Trichotomy (mathematics). --- Unitarian trick. --- Unitary group. --- Variable (mathematics).
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Written and revised by D. B. A. Epstein.
Category theory. Homological algebra --- 515.14 --- Algebraic topology --- Homology theory. --- 515.14 Algebraic topology --- Cohomology theory --- Contrahomology theory --- Algebra homomorphism. --- Algebra over a field. --- Algebraic structure. --- Approximation. --- Axiom. --- Basis (linear algebra). --- CW complex. --- Cartesian product. --- Classical group. --- Coefficient. --- Cohomology operation. --- Cohomology ring. --- Cohomology. --- Commutative property. --- Complex number. --- Computation. --- Continuous function. --- Cup product. --- Cyclic group. --- Diagram (category theory). --- Dimension. --- Direct limit. --- Embedding. --- Existence theorem. --- Fibration. --- Homomorphism. --- Hopf algebra. --- Hopf invariant. --- Ideal (ring theory). --- Integer. --- Inverse limit. --- Manifold. --- Mathematics. --- Monomial. --- N-skeleton. --- Natural transformation. --- Permutation. --- Quaternion. --- Ring (mathematics). --- Scalar (physics). --- Special unitary group. --- Steenrod algebra. --- Stiefel manifold. --- Subgroup. --- Subset. --- Summation. --- Symmetric group. --- Symplectic group. --- Theorem. --- Uniqueness theorem. --- Upper and lower bounds. --- Vector field. --- Vector space. --- W0.
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