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1Application of Modified Scheffe’s Third Degree Polynomial Model for the Optimization of Compressive Strength of Nylon Fibre Reinforced Concrete NFRC
K. Attah. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (3): 1488-1501 (March 2022)
2 years ago by @ijtsrd
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Compressive
Mixture
Design
3)
Polynomial
Scheffe’s
Model
(5
NFRC
Optimization
Strength
CompressiveMixtureDesign3)PolynomialScheffe’sModel(5NFRCOptimizationStrength
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1Results on Linear Algebra
M. Jariya. International Journal of Trend in Scientific Research and Development, 3 (5): 1728-1732 (August 2019)
5 years ago by @ijtsrd
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classication
number
subject
05C78
AMS
Polynomial
Dimension
:
vector
Minimal
space
classicationnumbersubject05C78AMSPolynomialDimension:vectorMinimalspace
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1On the Extreme Eigenvalues of Regular Graphs
S. Cioaba. Journal of Combinatorial Theory, Series B, 96 (3): 367--373 (2006)
8 years ago by @ytyoun
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ramanujan
eigenvalues
polynomial
non-backtracking
serre
alon-boppana
chebyshev
expander
graph.theory
random.walk
ramanujaneigenvaluespolynomialnon-backtrackingserrealon-boppanachebyshevexpandergraph.theoryrandom.walk
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1Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion
C. Hurvich, J. Simonoff, and C. Tsai. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 60 (2): 271--293 (January 1998)
8 years ago by @yourwelcome
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estimator,
polynomial
Smoothing
kernel
regression
Local
spline
estimator
Convolution
Plug-in
method,
estimator,polynomialSmoothingkernelregressionLocalsplineestimatorConvolutionPlug-inmethod,
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1Recent Results in the Theory of Graph Spectra
D. Cvetković, M. Doob, I. Gutman, and A. Torgasev. Annals of Discrete Mathematics (1988)
8 years ago by @ytyoun
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eigenvalues
textbook
interlacing
legendre
graph.theory
matching
characteristic
polynomial
orthogonal
sachs.theorem
hermite
chebyshev
laguerre
eigenvaluestextbookinterlacinglegendregraph.theorymatchingcharacteristicpolynomialorthogonalsachs.theoremhermitechebyshevlaguerre
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1Combinatorial Approach for Computing the Characteristic Polynomial of a Matrix
F. Belardo, E. Marzi, and S. Simić. Linear Algebra and its Applications, 433 (8): 1513--1523 (2010)
8 years ago by @ytyoun
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polynomial
graph.theory
recurrence
characteristic
polynomialgraph.theoryrecurrencecharacteristic
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2Matching Theory
L. Lovász, and M. Plummer. AMS Chelsea Pub., Providence, RI, (2009)
8 years ago by @ytyoun
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textbook
polynomial
root
gallai-edmonds
lovasz.plummer
Dulmage-Mendelsohn
graph.theory
matching
zero
textbookpolynomialrootgallai-edmondslovasz.plummerDulmage-Mendelsohngraph.theorymatchingzero
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1A Maximal Zero-Free Interval for Chromatic Polynomials of Bipartite Planar Graphs
F. Dong, and K. Koh. Discrete Mathematics, 308 (11): 2285--2287 (2008)
9 years ago by @ytyoun
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polynomial
algebraic.graph.theory
root
bipartite
planar
chromatic
root-free
polynomialalgebraic.graph.theoryrootbipartiteplanarchromaticroot-free
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1Effective Graph Resistance
W. Ellens, F. Spieksma, P. Mieghem, A. Jamakovic, and R. Kooij. Linear Algebra and its Applications, 435 (10): 2491--2506 (2011)Special Issue in Honor of Dragos Cvetkovic.
10 years ago by @ytyoun
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polynomial
total.effective.resistance
circuit
physics
effective.resistance
laplacian
resistor
network
graph.theory
polynomialtotal.effective.resistancecircuitphysicseffective.resistancelaplacianresistornetworkgraph.theory
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1Real Roots of Chromatic Polynomials
K. F M Dong, K M Koh. chapter 12, page 249--272. (2015)
10 years ago by @ytyoun
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textbook
polynomial
no.pdf
algebraic.graph.theory
root
chromatic
graph.theory
textbookpolynomialno.pdfalgebraic.graph.theoryrootchromaticgraph.theory
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1Computing the Tutte Polynomial in Vertex-Exponential Time
A. Björklund, T. Husfeldt, P. Kaski, and M. Koivisto. Foundations of Computer Science, 2008. FOCS '08. IEEE 49th Annual IEEE Symposium on, page 677--686. (October 2008)
10 years ago by @ytyoun
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polynomial
algebraic.graph.theory
chromatic
tutte
graph.theory
polynomialalgebraic.graph.theorychromatictuttegraph.theory
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1The Lax Conjecture Is True
A. Lewis, P. Parrilo, and M. Ramana. Proceedings of the American Mathematical Society, 133 (9): 2495--2500 (September 2005)
11 years ago by @ytyoun
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polynomial
lax
stable
polynomiallaxstable
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1Some Families of Orthogonal Polynomials of a Discrete Variable and Their Applications to Graphs and Codes
M. Cámara, J. Fabrega, M. Fiol, and E. Garriga. Electronic Journal of Combinatorics, 16 (1): R83 (2009)
11 years ago by @ytyoun
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polynomial
orthogonal
predistance
polynomialorthogonalpredistance
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1A Simple Proof of the Spectral Excess Theorem for Distance-Regular Graphs
M. Fiol, S. Gago, and E. Garriga. Linear Algebra and its Applications, 432 (9): 2418 - 2422 (2010)Special Issue devoted to Selected Papers presented at the Workshop on Spectral Graph Theory with Applications on Computer Science, Combinatorial Optimization and Chemistry (Rio de Janeiro, 2008).
11 years ago by @ytyoun
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polynomial
predistance
distance-regular
graph.theory
spectral.excess
polynomialpredistancedistance-regulargraph.theoryspectral.excess
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1Spectra of Graphs: Theory and Application
D. Cvetković, M. Doob, and H. Sachs. Academic Press, New York, (1980)
11 years ago by @ytyoun
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classic
eigenvalues
textbook
polynomial
spectral.graph.theory
matrix.tree.theorem
graph.theory
matching
characteristic
classiceigenvaluestextbookpolynomialspectral.graph.theorymatrix.tree.theoremgraph.theorymatchingcharacteristic
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1Polynomial form of the Hilbert-Einstein action
M. Katanaev. (2005)cite arxiv:gr-qc/0507026Comment: 8 pages, references added and corrected.
11 years ago by @aeu_research
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polynomial
form
einstein
hilbert
polynomialformeinsteinhilbert
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1Topology optimization of continuum structures under uncertainty – A Polynomial Chaos approach
M. Tootkaboni, A. Asadpoure, and {. Guest. Computer Methods in Applied Mechanics and Engineering, (2012)
12 years ago by @bhessen
show all tags
design,
Heaviside
Method,
Polynomial
Robust
finite
Projection
Topology
Fabrication
element,
optimization
Chaos,
errors,
stochastic
Spectral
design,HeavisideMethod,PolynomialRobustfiniteProjectionTopologyFabricationelement,optimizationChaos,errors,stochasticSpectral
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1Asymptotic formulae for the zeros of orthogonal polynomials
V. Badkov. Sbornik: Mathematics, 203 (9): 1231 (September 2012)
12 years ago by @drmatusek
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polynomial
orthogonal
asymptotic
unread
mathematics
analysis
polynomialorthogonalasymptoticunreadmathematicsanalysis
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1Permutationally invariant potential energy surfaces in high dimensionality
B. Braams, and J. Bowman. International Reviews in Physical Chemistry, 28 (4): 577-606 (October 2009)
13 years ago by @drmatusek
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symbolic
surface
mathematics
chemistry
computation
invariant
energy
fit
polynomial
physics
review
potential
theory
symbolicsurfacemathematicschemistrycomputationinvariantenergyfitpolynomialphysicsreviewpotentialtheory
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2Forecasting with genetically programmed polynomial neural networks
L. de Menezes, and N. Nikolaev. International Journal of Forecasting, 22 (2): 249--265 (April 2006)
17 years ago by @brazovayeye
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models,
genetic
Nonlinear
polynomial
algorithms,
neural
algorithms
programming,
Tree-structured
Statistical
learning
network
models,geneticNonlinearpolynomialalgorithms,neuralalgorithmsprogramming,Tree-structuredStatisticallearningnetwork
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