Mathematics and Statistics
Recursos
2001–2050 de 6751
Cerca avançada
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Stochastic Control of Partially Observable Systems -
Physical Problems Solved by the Phase-Integral Method -
Numerical Ranges II -
Algebra and Geometry -
Graded Rings and Graded Grothendieck Groups -
Tolerance Graphs -
Spectral Decomposition and Eisenstein Series -
Network Analysis -
An Introduction to Independence for Analysts -
Oeuvres complètes -
Singular Points of Plane Curves -
Solving Polynomial Equation Systems III -
Computational Aeroacoustics -
The Theory of Generalised Functions -
Journées Arithmétiques 1980 -
A Brief Guide to Algebraic Number Theory -
Fundamentals of Nonparametric Bayesian Inference -
Control Theory for Partial Differential Equations -
Introdction to Measure and Probability -
Geometry and Integrability -
Hamiltonian Mechanics of Gauge Systems -
Pseudo-reductive Groups -
An Introduction to the Modeling of Neural Networks -
Basics of Nonlinearities in Mathematical Sciences -
The Force of Symmetry -
A First Course in Statistical Programming with R -
Curriculum Development in Mathematics -
Decision Behaviour, Analysis and Support -
Central Simple Algebras and Galois Cohomology -
Markov Processes, Gaussian Processes, and Local Times -
Applied Time Series Econometrics -
A Pathway Into Number Theory -
Transcendental Aspects of Algebraic Cycles -
Representations of Lie Algebras -
Model Theory with Applications to Algebra and Analysis -
Paradox and Paraconsistency -
Inverse Problems and Data Assimilation -
Managing Portfolio Credit Risk in Banks -
Optimal Control and Geometry: Integrable Systems -
Cohomological Methods in Transformation Groups -
Symplectic Topology and Floer Homology -
Moonshine beyond the Monster -
A Mathematical Introduction to String Theory -
A Guide to MATLAB -
Operator Algebras and Applications -
The Toda Lattice and Universality for the Computation of the Eigenvalues of a Random Matrix -
Topological Methods in Group Theory -
Classification Problems in Ergodic Theory -
Forecasting, Structural Time Series Models and the Kalman Filter -
Transfer Learning
2001–2050 de 6751