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1. Experiences Situating Mathematical Problem Solving at the Core of Early Childhood Classrooms

作者： Celi Espasandin Lopes ; Regina Célia Grando…

关键词：Problem solving ; Mathematics education ; Early childhood education ; Curriculum

刊名：Early Childhood Education Journal

出版年：2017

2. Is Mathematics Problem Solving or Theorem Proving?

作者： Carlo Cellucci

关键词：Problem solving ; Theorem proving ; Analytic method ; Axiomatic method ; David Hilbert ; Incompleteness theorems

刊名：Foundations of Science

出版年：2017

3. Solving a bi-objective location routing problem by a NSGA-II combined with clustering approach: application in waste collection problem

作者： Masoud Rabbani ; Hamed Farrokhi-Asl…

关键词：Waste collection problem ; Treatment facility ; Location routing problem ; Multi objective optimization

刊名：Journal of Industrial Engineering International

出版年：2017

4. Solving boundary value problems of mathematical physics using radial basis function networks

作者： V. I. Gorbachenko ; M. V. Zhukov

关键词：boundary value problems of mathematical physics ; neural networks ; radial basis function networks ; learning of neural networks ; trust region method ; coefficient inverse problems

刊名：Computational Mathematics and Mathematical Physics

出版年：2017

5. Shifting the Load: a Peer Dialogue Agent that Encourages its Human Collaborator to Contribute More to Problem Solving

作者： Cynthia Howard ; Pamela Jordan…

关键词：Peer agent ; Collaborative problem solving ; Collaborative dialogue ; Computer science education

刊名：International Journal of Artificial Intelligence in Education

出版年：2017

6. Lay Health Workers’ Experience of Delivering a Problem Solving Therapy Intervention for Common Mental Disorders Among People Living with HIV: A Qualitative Study from Zimbabwe

作者： Dixon Chibanda ; Frances Cowan ; Ruth Verhey…

关键词：Common mental disorders ; Problem solving therapy ; Lay health workers ; HIV

刊名：Community Mental Health Journal

出版年：2017

7. An efficient recurrent neural network model for solving fuzzy non-linear programming problems

作者： Amin Mansoori ; Sohrab Effati ; Mohammad Eshaghnezhad

关键词：Fuzzy non ; linear programming problems ; Bi ; objective problem ; Weighting problem ; Recurrent neural network ; Globally stable in the sense of Lyapunov ; Globally convergent

刊名：Applied Intelligence

出版年：2017

8. Stable iterative Lagrange principle in convex programming as a tool for solving unstable problems

作者： F. A. Kuterin ; M. I. Sumin

关键词：convex programming ; instability ; sequential optimization ; iterative dual regularization ; regularized Lagrange principle in iterative form ; unstable problems ; Fredholm integral equation of first kind.

刊名：Computational Mathematics and Mathematical Physics

出版年：2017

9. A novel fuzzy adaptive teaching–learning-based optimization (FATLBO) for solving structural optimization problems

作者： Min-Yuan Cheng ; Doddy Prayogo

关键词：Optimization ; Fuzzy logic ; Teaching–learning ; based optimization ; Structural design problems

刊名：Engineering with Computers

出版年：2017

10. Extragradient method for solving an optimal control problem with implicitly specified boundary conditions

作者： A. S. Antipin ; L. A. Artem’eva…

关键词：optimal control problem ; Lagrange function ; saddle point ; extragradient method ; convergence

刊名：Computational Mathematics and Mathematical Physics

出版年：2017

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