Results 51 to 60 of about 2,697,458 (148)
Adaptive Bound Optimization for Online Convex Optimization [PDF]
We introduce a new online convex optimization algorithm that adaptively chooses its regularization function based on the loss functions observed so far.
McMahan, H. Brendan, Streeter, Matthew
core +1 more source
On a reverse Mulholland-type inequality in the whole plane with general homogeneous kernel
By using the idea of introducing parameters and weight coefficients, a new reverse discrete Mulholland-type inequality in the whole plane with general homogeneous kernel is given, which is an extension of the reverse Mulholland inequality. The equivalent
Ricai Luo, Bicheng Yang, Xingshou Huang
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A Hilbert Integral-Type Inequality with Parameters
A Hilbert-type integral inequality with parameters α and (α,λ>0) can be established by introducing a nonhomogeneous kernel function. And the constant factor is proved to be the best possible. And then some important and especial results are enumerated.
Shang Xiaozhou, Gao Mingzhe
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On a new Hardy-Mulholland-type inequality and its more accurate form
Using weight coefficients and applying the well-known Hermite-Hadamard inequality, a new Hardy-Mulholand-type inequality with a best possible constant factor is given.
Aihua Li, Bicheng Yang, Leping He
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A Half-Discrete Hilbert-Type Inequality in the Whole Plane with Multiparameters
By the use of weight functions and technique of real analysis, a new half-discrete Hilbert-type inequality in the whole plane with multiparameters and the best possible constant factor is given.
Qunwei Ma, Bicheng Yang, Leping He
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A Hilbert-type integral inequality in the whole plane related to the kernel of exponent function
By using real analysis and weight functions, we obtain a few equivalent statements of a Hilbert-type integral inequality in the whole plane related to the kernel of exponent function with intermediate variables.
Yanru Zhong, Meifa Huang, Bicheng Yang
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On a multiple Hilbert-type integral inequality involving the upper limit functions
By applying the weight functions, the idea of introducing parameters and the technique of real analysis, a new multiple Hilbert-type integral inequality involving the upper limit functions is given.
Jianhua Zhong, Bicheng Yang
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Online Scheduling on Identical Machines using SRPT [PDF]
Due to its optimality on a single machine for the problem of minimizing average flow time, Shortest-Remaining-Processing-Time (\srpt) appears to be the most natural algorithm to consider for the problem of minimizing average flow time on multiple ...
Fox, Kyle, Moseley, Benjamin
core
Online Makespan Minimization with Parallel Schedules
In online makespan minimization a sequence of jobs $\sigma = J_1,..., J_n$ has to be scheduled on $m$ identical parallel machines so as to minimize the maximum completion time of any job.
D.D. Sleator +22 more
core +1 more source
A more accurate half-discrete Hardy-Hilbert-type inequality with the logarithmic function
By means of the weight functions, the technique of real analysis and Hermite-Hadamard’s inequality, a more accurate half-discrete Hardy-Hilbert-type inequality related to the kernel of logarithmic function and a best possible constant factor is given ...
Aizhen Wang, Bicheng Yang
doaj +1 more source

