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Optimization by Vector Space Methods
First published in 1968...
View Book →Quadrature-Based Vector Fitting: Implications For H2 System Approximation
Vector Fitting is a popular method of constructing rational approximants designed to fit given frequency response measurements. The original method, which we refer to as VF, is based on a least-square...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Topological vector spaces, distributions and kernels
First published in 1967...
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Vector multiplicative error models representation and inference
"The Multiplicative Error Model introduced by Engle (2002) for positive valued processes is specified as the product of a (conditionally autoregressive) scale factor and an innovation process with pos...
View Book →The impact of the strong euro on the real effective exchange rates of the two francophone African CF
"The author estimates the degree of misalignment of the CFA franc since the introduction of the euro in 1999. Using a relative purchasing power parity-based methodology, he develops a monthly panel t...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
View Book →Volterra and Integral Equations of Vector Functions
First published in 2019...
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The calculus, with analytic geometry
First published in 1967...
View Book →Generalized convexity and vector optimization
Includes bibliographical references and index....
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Topological vector spaces
First published in 2008...
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Developing Graphics Frameworks with Python and OpenGL
...
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Calculus of vector functions
First published in 1968...
View Book →Mass-deformed $T_N$ as a linear quiver
The $T_N$ theory is a non-Lagrangian theory with SU(N) flavor symmetry. We argue that when mass terms are given so that two of SU(N)'s are both broken to SU(N-1) x U(1), it becomes $T_{N-1}$ theory co...
View Book →Partition function of a bubble formed in double stranded DNA
We calculate the entropic part of partition function of a bubble embedded in a double stranded DNA (dsDNA) by considering the total weights of possible configurations of a system of two single strande...
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JavaScript Allongé
Programming from Functions to Classes in ECMAScript 2015...
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Elementary treatise on curves, functions, and forces.
Also available in digital form....
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Bayesian Methods in the Search for MH370
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View Book →Alternative procedures for estimating vector autoregressions identified with long-run restrictions
"We show that the standard procedure for estimating long-run identified vector autoregressions uses a particular estimator of the zero-frequency spectral density matrix of the data. We develop altern...
View Book →Inflation persistence and flexible prices
"If the central bank follows an interest rate rule, then inflation is likely to be persistence, even when prices are fully flexible. Any shock, whether persistent or not, may lead to inflation persis...
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Algorithms for Decision Making
...
View Book →Spacecraft dynamics and control : an introduction
"Provides the basics of spacecraft orbital dynamics plus attitude dynamics and control, using vectrix notationSpacecraft Dynamics and Control: An Introduction presents the fundamentals of classical co...
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Vector Calculus and Linear Algebra
First published in 2020...
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Assessing structural vars
"This paper analyzes the quality of VAR-based procedures for estimating the response of the economy to a shock. We focus on two key issues. First, do VAR-based confidence intervals accurately reflec...
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Functional Trigonometry
First published in 1961...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Direct Polarization for q-ary Source and Channel Coding
It has been shown that an extension of the basic binary polar transformation also polarizes over finite fields. With it the direct encoding of q-ary sources and channels is a process that can be imple...
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Solving PDEs in Python
The FEniCS Tutorial I...
View Book →Max-linear models on directed acyclic graphs
We consider a new recursive structural equation model where all variables can be written as max-linear function of their parental node variables and independent noise variables. The model is max-linea...
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Estimating derivatives in nonseparable models with limited dependent variables
"We present a simple way to estimate the effects of changes in a vector of observable variables X on a limited dependent variable Y when Y is a general nonseparable function of X and unobservables. W...
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Principles of linear algebra with Mathematica
"Principles of Linear Algebra with Mathematica uniquely addresses the quickly growing intersection between subject theory and numerical computation. Computer algebra systems such as Mathematica are be...
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Multiway spectral community detection in networks
One of the most widely used methods for community detection in networks is the maximization of the quality function known as modularity. Of the many maximization techniques that have been used in this...
View Book →On the gluing formula of real analytic torsion forms
In this paper we extend first the Bismut-Lott's analytic torsion form for flat vector bundles to the boundary case, then we establish its gluing formula on a smooth fibration under the assumption that...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Foundations of Machine Learning
...
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Hardy Inequalities on Homogeneous Groups
100 Years of Hardy Inequalities...
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Algorithmic Graph Theory and Sage
...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
View Book →Decomposition Techniques for Bilinear Saddle Point Problems and Variational Inequalities with Affine
The majority of First Order methods for large-scale convex-concave saddle point problems and variational inequalities with monotone operators are proximal algorithms which at every iteration need to m...
View Book →A search for a structural Phillips curve
"The foundation of the New Keynesian Phillips curve (NKPC) is a model of price setting with nominal rigidities that implies that the dynamics of inflation are well explained by the evolution of real m...
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Signal Computing
Digital Signals in the Software Domain...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Professor Frisby's Mostly Adequate Guide to Functional Programming
...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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A Theory of Lorentzian Kac-Moody algebras
We present a variant of the Theory of Lorentzian (i. e. with a hyperbolic generalized Cartan matrix) Kac-Moody algebras recently developed by V. A. Gritsenko and the author. It is closely related with...
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Espaces topologiques, fonctions multivoques
First published in 1963...
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Representation Learning for Natural Language Processing
...
View Book →Aggregate shocks and labor market fluctuations
"This paper evaluates the dynamic response of worker flows, job flows, and vacancies to aggregate shocks in a structural vector autoregression. We identify demand, monetary, and technology shocks by ...
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Think OCaml
How to Think Like a (Functional) Programmer...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Vector autoregressions and reality
"The statistical significance of variance decompositions and impulse response functions for unrestricted vector autoregressions is questionable. Most previous studies are suspect because they have not...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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The algebra of coplanar vectors and trigonometry
First published in 1892...
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Complex vector functional equations
First published in 2001...
View Book →$H^\infty$ functional calculus and maximal inequalities for semigroups of contractions on vector-val
Let $\{T_t\}_{t>0}$ be a strongly continuous semigroup of positive contractions on $L_p(X,\mu)$ with $1 0}\frac1t\Big|\int_0^tT_s(f(\cdot,\omega))(x)ds\Big|,\quad (x,\omega)\in X\times\Omega.$$ Then t...
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The fundamental equations of dynamics and its main coördinate systems vectorially treated and illu
"This book forms part II of The principles of mechanics, part I, New York, The Macmillan company, 1900." Also available in digital form....
View Book →Multivariate nonparametric regression and visualization : with R and applications to finance
"This book uniquely utilizes visualization tools to explain and study statistical learning methods. Covering classification and regression, the book is divided into two parts. First, various visualiza...
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Anisotropy Across Fields and Scales
...
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Multivariate forecast evaluation and rationality testing
"In this paper, we propose a new family of multivariate loss functions that can be used to test the rationality of vector forecasts without assuming independence across individual variables. When onl...
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Scaling in erosion of landscapes: Renormalization group analysis of a model with turbulent mixing
The model of landscape erosion, introduced in [{\it Phys. Rev. Lett.} {\bf 80}: 4349 (1998); {\it J. Stat. Phys.} {\bf 93}: 477 (1998)] and modified in [{\it Theor. Math. Phys.} - in press; arXiv:1602...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
View Book →The Legendre-Fenchel transform from a category theoretic perspective
The Legendre-Fenchel transform is a classical piece of mathematics with many applications. In this paper we show how it arises in the context of category theory using categories enriched over the exte...
View Book →Vector Bosons in Strong Fields
The Coulomb problem for charged massive vector bosons is known to be unstable, the boson falls on the Coulomb center. It is shown that when the charge of the Coulomb center is smeared over a small but...
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Variant Construction from Theoretical Foundation to Applications
...
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Parametrizing an integer linear program by an integer
We consider a family of integer linear programs in which the coefficients of the constraints and objective function are polynomials of an integer parameter $t.$ For $\ell$ in $\mathbb{Z}_+,$ we define...
View Book →On the fit and forecasting performance of new keynesian models
"The paper provides new tools for the evaluation of DSGE models and applies them to a large-scale New Keynesian dynamic stochastic general equilibrium (DSGE) model with price and wage stickiness and c...
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Weak localization effect on thermomagnetic phenomena
The quantum transport equation (QTE) is extended to study weak localization (WL) effects on galvanomagnetic and thermomagnetic phenomena. QTE has many advantages over the linear response method (LRM):...
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Non-viral vectors for gene therapy
First published in 2005...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Area-stationary and stable surfaces of class $C^1$ in the sub-Riemannian Heisenberg group ${\mathbb
We consider surfaces of class $C^1$ in the $3$-dimensional sub-Riemannian Heisenberg group ${\mathbb H}^1$. Assuming the surface is area-stationary, i.e., a critical point of the sub-Riemannian perime...
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Introduction to vector functions
First published in 1967...
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A Linear Scalarization Proximal Point Method for Quasiconvex Multiobjective Minimization
In this paper we propose a linear scalarization proximal point algorithm for solving arbitrary lower semicontinuous quasiconvex multiobjective minimization problems. Under some natural assumptions and...
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Etiology and Morphogenesis of Congenital Heart Disease
From Gene Function and Cellular Interaction to Morphology...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
View Book →3D surface reconstruction : multi-scale hierarchical approaches
Includes bibliographical references (p. 151-162)....
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
View Book →Information criteria for impulse response function matching estimation of DSGE models
"We propose a new information criterion for impulse response function matching estimators of the structural parameters of macroeconomic models. The main advantage of our procedure is that it allows t...
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Vector-valued Laplace transforms and Cauchy problems
First published in 2001...
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Understanding Machine Learning
From Theory to Algorithms...
View Book →Optilization of the gyroaverage operator based on hermite interpolation
Gyrokinetic modeling is appropriate for describing Tokamak plasma turbulence, and the gyroaverage operator is a cornerstone of this approach. In a gyrokinetic code, the gyroaveraging scheme needs to b...
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MonoGame Role-Playing Game Development Succinctly
...
View Book →Encoding algebraic power series
Algebraic power series are formal power series which satisfy a univariate polynomial equation over the polynomial ring in n variables. This relation determines the series only up to conjugacy. Via the...
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An introduction to support vector machines
First published in 2000...
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Least squares support vector machines
First published in 2002...
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Functional Somatic Symptoms in Children and Adolescents
A Stress-System Approach to Assessment and Treatment...
View Book →The Equilibrium-Tide Model for Tidal Friction
We derive from first principles equations governing (a) the quadrupole tensor of a star distorted by both rotation and the presence of a companion in a possibly eccentric orbit, (b) a functional form ...
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Writing Native Mobile Apps in a Functional Language Succinctly
...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Boundary Value Problems, Weyl Functions, and Differential Operators
...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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