<--- Back to Details
First PageDocument Content
Mathematical analysis / Mathematics / Measure theory / Homotopy theory / Differential topology / Analysis / Boolean algebra / Probability theory / Sigma-algebra / Generalised Whitehead product
Date: 2016-01-03 06:47:23
Mathematical analysis
Mathematics
Measure theory
Homotopy theory
Differential topology
Analysis
Boolean algebra
Probability theory
Sigma-algebra
Generalised Whitehead product

Improved approximation for Fr´echet distance on c-packed curves matching conditional lower bounds (extended abstract) Karl Bringmann∗ Marvin K¨

Add to Reading List

Source URL: people.mpi-inf.mpg.de

Download Document from Source Website

File Size: 685,33 KB

Share Document on Facebook

Similar Documents

Algebra Universalis,  + 0.20/0 (~ 1995 BirkhS.user Verlag, Basel  Adjoining units to residuated Boolean algebras

Algebra Universalis, + 0.20/0 (~ 1995 BirkhS.user Verlag, Basel Adjoining units to residuated Boolean algebras

DocID: 1v8wA - View Document

American Computer Science League Flyer Solutions 1. Boolean Algebra ( A  B) ( AB  BC ) = A B ( AB  BC ) = AA B  A BB C  0  0  0

American Computer Science League Flyer Solutions 1. Boolean Algebra ( A  B) ( AB  BC ) = A B ( AB  BC ) = AA B  A BB C  0  0  0

DocID: 1uZJ8 - View Document

Visualising the Boolean Algebra IB4 in 3D Hans Smessaert & Lorenz Demey KU Leuven, Belgium Rhombic Dodecahedron (RDH)  LOGICAL GEOMETRY

Visualising the Boolean Algebra IB4 in 3D Hans Smessaert & Lorenz Demey KU Leuven, Belgium Rhombic Dodecahedron (RDH) LOGICAL GEOMETRY

DocID: 1up5i - View Document

BOO axioms BOO001-0.ax Ternary Boolean algebra (equality) axioms m(m(v, w, x), y, m(v, w, z)) = m(v, w, m(x, y, z)) cnf(associativity, axiom) m(y, x, x) = x cnf(ternary multiply1 , axiom)

BOO axioms BOO001-0.ax Ternary Boolean algebra (equality) axioms m(m(v, w, x), y, m(v, w, z)) = m(v, w, m(x, y, z)) cnf(associativity, axiom) m(y, x, x) = x cnf(ternary multiply1 , axiom)

DocID: 1u9q0 - View Document

On Solving Boolean Multilevel Optimization Problems∗ Josep Argelich INESC-ID Lisbon

On Solving Boolean Multilevel Optimization Problems∗ Josep Argelich INESC-ID Lisbon

DocID: 1rsZm - View Document