عنوان
پدید آورنده
موضوع
رده
Q325.5 .S57 2018eb
Q325
.
5
.
S57
2018eb
کتابخانه
محل استقرار
9789813229693
9813229691
9789813229686
9813229683
Mathematical analysis for machine learning and data mining /
[Book]
by Dan Simovici (University of Massachusetts, Boston, USA).
New Jersey :
World Scientific,
[2018]
©2018
1 online resource (xv, 968 pages)
Includes bibliographical references and index.
2.5 Seminorms and Norms2.6 Linear Functionals in Inner Product Spaces; 2.7 Hyperplanes; Exercises and Supplements; Bibliographical Comments; 3. Algebra of Convex Sets; 3.1 Introduction; 3.2 Convex Sets and Affine Subspaces; 3.3 Operations on Convex Sets; 3.4 Cones; 3.5 Extreme Points; 3.6 Balanced and Absorbing Sets; 3.7 Polytopes and Polyhedra; Exercises and Supplements; Bibliographical Comments; Part II. Topology; 4. Topology; 4.1 Introduction; 4.2 Topologies; 4.3 Closure and Interior Operators in Topological Spaces; 4.4 Neighborhoods; 4.5 Bases; 4.6 Compactness; 4.7 Separation Hierarchy.
4.8 Locally Compact Spaces4.9 Limits of Functions; 4.10 Nets; 4.11 Continuous Functions; 4.12 Homeomorphisms; 4.13 Connected Topological Spaces; 4.14 Products of Topological Spaces; 4.15 Semicontinuous Functions; 4.16 The Epigraph and the Hypograph of a Function; Exercises and Supplements; Bibliographical Comments; 5. Metric Space Topologies; 5.1 Introduction; 5.2 Sequences in Metric Spaces; 5.3 Limits of Functions on Metric Spaces; 5.4 Continuity of Functions between Metric Spaces; 5.5 Separation Properties of Metric Spaces; 5.6 Completeness of Metric Spaces.
5.7 Pointwise and Uniform Convergence5.8 The Stone-Weierstrass Theorem; 5.9 Totally Bounded Metric Spaces; 5.10 Contractions and Fixed Points; 5.11 The HausdorffMetric Hyperspace of Compact Subsets; 5.12 The Topological Space (R, O); 5.13 Series and Schauder Bases; 5.14 Equicontinuity; Exercises and Supplements; Bibliographical Comments; 6. Topological Linear Spaces; 6.1 Introduction; 6.2 Topologies of Linear Spaces; 6.3 Topologies on Inner Product Spaces; 6.4 Locally Convex Linear Spaces; 6.5 Continuous Linear Operators; 6.6 Linear Operators on Normed Linear Spaces.
6.7 Topological Aspects of Convex Sets6.8 The Relative Interior; 6.9 Separation of Convex Sets; 6.10 Theorems of Alternatives; 6.11 The Contingent Cone; 6.12 Extreme Points and Krein-Milman Theorem; Exercises and Supplements; Bibliographical Comments; Part III. Measure and Integration; 7. Measurable Spaces and Measures; 7.1 Introduction; 7.2 Measurable Spaces; 7.3 Borel Sets; 7.4 Measurable Functions; 7.5 Measures and Measure Spaces; 7.6 Outer Measures; 7.7 The Lebesgue Measure on Rn; 7.8 Measures on Topological Spaces; 7.9 Measures in Metric Spaces; 7.10 Signed and Complex Measures.
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Mathematical analysis for machine learning and data mining.
9813229683
Data mining-- Mathematics.
Machine learning-- Mathematics.
COMPUTERS-- General.
COM-- 000000
006
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3/101515
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Q325
.
5
.
S57
2018eb
Simovici, Dan A.
20200823231913.0
pn
مطالعه متن کتاب [Book]
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