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From Agent-Based Markov Dynamics to Hierarchical Closures on Networks: Emergent Complexity and Epidemic Applications. [PDF]
Klimenko AY, Rozycki A, Lu Y.
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The shifted convolution problem in function fields. [PDF]
Florea A, Lalín M, Malik A, Sahay A.
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Physics-informed neural network with weighted loss and hard constraints for hyperbolic conservation laws. [PDF]
Ghoreishi MS, Naderan H.
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Nonlinear model reduction for large-scale structures via dual substructuring. [PDF]
Flores PA.
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Evaluation of the effects of a new standard equation for doubly labeled water studies. [PDF]
Falkenhain K +8 more
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George Dantzig: Equations, Equations, and Equations
2013Dantzig was the progenitor of the simplex method for linear programming. A viewpoint in his spirit approaching P versus NP entirely via linear equations is presented and defended.
Richard J. Lipton, Kenneth W. Regan
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FIELD EQUATIONS FROM PARTICLE EQUATIONS
Canadian Journal of Physics, 1955A simple point of view is developed which shows how various types of field equations may be obtained from the relativistic Hamiltonian of a particle.
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Journal of Knot Theory and Its Ramifications, 1996
We are given fixed rational tangles P and R and knots or links K1 and K2. Let O be a tangle such that N(O+P)=K1and N(O+R)=K2, where N is the numerator construction on the tangles O+P and O+R, respectively. N(O+P)=K1and N(O+R)=K1 form two equations, in which O is treated as a variable and P, R, K1and K2 are kept fixed. The number and types of solutions
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We are given fixed rational tangles P and R and knots or links K1 and K2. Let O be a tangle such that N(O+P)=K1and N(O+R)=K2, where N is the numerator construction on the tangles O+P and O+R, respectively. N(O+P)=K1and N(O+R)=K1 form two equations, in which O is treated as a variable and P, R, K1and K2 are kept fixed. The number and types of solutions
openaire +1 more source

