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Convex approximation of the non-convex function


Is the following function convex-$cap$?Is there any method that convert a non-convex problem to a convex one?is the Superellipse function convex or not?Gradient descent with box constraints and possible non-convex function.What is the solution of this convex optimization problem?positive constant divided by a concave function, how to convexify this constraint?Interesting Global Minimum of a Non-convex FunctionChange of variable (convex optimization)Non-convex Constraint Satisfaction problemIs it possible to “solve” iterative (convex/non-convex) optimization problems via learning (one-shot)?













0












$begingroup$


I have the following constraint for the optimization problem in hand:



$$fracb_klog_2 left(1 + fracp_k alpha_ksum_j neq k p_j alpha_j + sum_n sum_l Xi_n,l,k 2^-2 v_n,l right) + 2 fracsum_n sum_l v_n,l C_F leq epsilon$$



where the variables are $v_n,l$, $p_k$, $p_j, ; j neq k$. The constants are $alpha_k$, $alpha_j$, $b_k$, $C_F$, $Xi_n,l,k$.



The constraint is non-convex in $v_n,l, p_k, p_j, ; j neq k$. I am looking solve the problem with sucessive convex approximation approach.



I need some suggestion on feasibilty of the problem in terms of it if its possible to have a convex approximation for the above constraint and or suggest some method to solve it.










share|cite|improve this question











$endgroup$







  • 1




    $begingroup$
    The Optimization Ocean is full of hopelessness, with a few archipelagos of tiny atolls (e.g., LP, QP, SDP, etc) where life is easy.
    $endgroup$
    – Rodrigo de Azevedo
    15 hours ago






  • 2




    $begingroup$
    Any particular reason for manually deriving convex approximations and then using an iterative approach, instead of simply using a general purpose nonlinear solver which effectively does this for you, but with added general tricks and knowledge to handle nonlinear programs.
    $endgroup$
    – Johan Löfberg
    13 hours ago










  • $begingroup$
    @JohanLöfberg My idea was to solve the problem with respect to both $v_n,l$ and $p_k$ and formulate and SCA problem. I am not sure if it can be solved using non-linear solvers. I dont have experience with nonlinear solver and that's why I am not sure feasibility of the problem.
    $endgroup$
    – Chandan Pradhan
    12 hours ago






  • 1




    $begingroup$
    Nonlinear solvers solve, well, nonlinear problems. Your problem is nonlinear. Most often when people start messing abour with homemade sequential convex approximations etc, they are simply reinventing the wheel, or bad approximations of a very standard wheel. Start with a standard nonlinear solver and see where it gets you. If that isn't good enough, try developing your own heuristics.
    $endgroup$
    – Johan Löfberg
    6 hours ago















0












$begingroup$


I have the following constraint for the optimization problem in hand:



$$fracb_klog_2 left(1 + fracp_k alpha_ksum_j neq k p_j alpha_j + sum_n sum_l Xi_n,l,k 2^-2 v_n,l right) + 2 fracsum_n sum_l v_n,l C_F leq epsilon$$



where the variables are $v_n,l$, $p_k$, $p_j, ; j neq k$. The constants are $alpha_k$, $alpha_j$, $b_k$, $C_F$, $Xi_n,l,k$.



The constraint is non-convex in $v_n,l, p_k, p_j, ; j neq k$. I am looking solve the problem with sucessive convex approximation approach.



I need some suggestion on feasibilty of the problem in terms of it if its possible to have a convex approximation for the above constraint and or suggest some method to solve it.










share|cite|improve this question











$endgroup$







  • 1




    $begingroup$
    The Optimization Ocean is full of hopelessness, with a few archipelagos of tiny atolls (e.g., LP, QP, SDP, etc) where life is easy.
    $endgroup$
    – Rodrigo de Azevedo
    15 hours ago






  • 2




    $begingroup$
    Any particular reason for manually deriving convex approximations and then using an iterative approach, instead of simply using a general purpose nonlinear solver which effectively does this for you, but with added general tricks and knowledge to handle nonlinear programs.
    $endgroup$
    – Johan Löfberg
    13 hours ago










  • $begingroup$
    @JohanLöfberg My idea was to solve the problem with respect to both $v_n,l$ and $p_k$ and formulate and SCA problem. I am not sure if it can be solved using non-linear solvers. I dont have experience with nonlinear solver and that's why I am not sure feasibility of the problem.
    $endgroup$
    – Chandan Pradhan
    12 hours ago






  • 1




    $begingroup$
    Nonlinear solvers solve, well, nonlinear problems. Your problem is nonlinear. Most often when people start messing abour with homemade sequential convex approximations etc, they are simply reinventing the wheel, or bad approximations of a very standard wheel. Start with a standard nonlinear solver and see where it gets you. If that isn't good enough, try developing your own heuristics.
    $endgroup$
    – Johan Löfberg
    6 hours ago













0












0








0





$begingroup$


I have the following constraint for the optimization problem in hand:



$$fracb_klog_2 left(1 + fracp_k alpha_ksum_j neq k p_j alpha_j + sum_n sum_l Xi_n,l,k 2^-2 v_n,l right) + 2 fracsum_n sum_l v_n,l C_F leq epsilon$$



where the variables are $v_n,l$, $p_k$, $p_j, ; j neq k$. The constants are $alpha_k$, $alpha_j$, $b_k$, $C_F$, $Xi_n,l,k$.



The constraint is non-convex in $v_n,l, p_k, p_j, ; j neq k$. I am looking solve the problem with sucessive convex approximation approach.



I need some suggestion on feasibilty of the problem in terms of it if its possible to have a convex approximation for the above constraint and or suggest some method to solve it.










share|cite|improve this question











$endgroup$




I have the following constraint for the optimization problem in hand:



$$fracb_klog_2 left(1 + fracp_k alpha_ksum_j neq k p_j alpha_j + sum_n sum_l Xi_n,l,k 2^-2 v_n,l right) + 2 fracsum_n sum_l v_n,l C_F leq epsilon$$



where the variables are $v_n,l$, $p_k$, $p_j, ; j neq k$. The constants are $alpha_k$, $alpha_j$, $b_k$, $C_F$, $Xi_n,l,k$.



The constraint is non-convex in $v_n,l, p_k, p_j, ; j neq k$. I am looking solve the problem with sucessive convex approximation approach.



I need some suggestion on feasibilty of the problem in terms of it if its possible to have a convex approximation for the above constraint and or suggest some method to solve it.







optimization nonlinear-optimization non-convex-optimization






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited 1 hour ago









Javi

3,0212832




3,0212832










asked 16 hours ago









Chandan PradhanChandan Pradhan

353




353







  • 1




    $begingroup$
    The Optimization Ocean is full of hopelessness, with a few archipelagos of tiny atolls (e.g., LP, QP, SDP, etc) where life is easy.
    $endgroup$
    – Rodrigo de Azevedo
    15 hours ago






  • 2




    $begingroup$
    Any particular reason for manually deriving convex approximations and then using an iterative approach, instead of simply using a general purpose nonlinear solver which effectively does this for you, but with added general tricks and knowledge to handle nonlinear programs.
    $endgroup$
    – Johan Löfberg
    13 hours ago










  • $begingroup$
    @JohanLöfberg My idea was to solve the problem with respect to both $v_n,l$ and $p_k$ and formulate and SCA problem. I am not sure if it can be solved using non-linear solvers. I dont have experience with nonlinear solver and that's why I am not sure feasibility of the problem.
    $endgroup$
    – Chandan Pradhan
    12 hours ago






  • 1




    $begingroup$
    Nonlinear solvers solve, well, nonlinear problems. Your problem is nonlinear. Most often when people start messing abour with homemade sequential convex approximations etc, they are simply reinventing the wheel, or bad approximations of a very standard wheel. Start with a standard nonlinear solver and see where it gets you. If that isn't good enough, try developing your own heuristics.
    $endgroup$
    – Johan Löfberg
    6 hours ago












  • 1




    $begingroup$
    The Optimization Ocean is full of hopelessness, with a few archipelagos of tiny atolls (e.g., LP, QP, SDP, etc) where life is easy.
    $endgroup$
    – Rodrigo de Azevedo
    15 hours ago






  • 2




    $begingroup$
    Any particular reason for manually deriving convex approximations and then using an iterative approach, instead of simply using a general purpose nonlinear solver which effectively does this for you, but with added general tricks and knowledge to handle nonlinear programs.
    $endgroup$
    – Johan Löfberg
    13 hours ago










  • $begingroup$
    @JohanLöfberg My idea was to solve the problem with respect to both $v_n,l$ and $p_k$ and formulate and SCA problem. I am not sure if it can be solved using non-linear solvers. I dont have experience with nonlinear solver and that's why I am not sure feasibility of the problem.
    $endgroup$
    – Chandan Pradhan
    12 hours ago






  • 1




    $begingroup$
    Nonlinear solvers solve, well, nonlinear problems. Your problem is nonlinear. Most often when people start messing abour with homemade sequential convex approximations etc, they are simply reinventing the wheel, or bad approximations of a very standard wheel. Start with a standard nonlinear solver and see where it gets you. If that isn't good enough, try developing your own heuristics.
    $endgroup$
    – Johan Löfberg
    6 hours ago







1




1




$begingroup$
The Optimization Ocean is full of hopelessness, with a few archipelagos of tiny atolls (e.g., LP, QP, SDP, etc) where life is easy.
$endgroup$
– Rodrigo de Azevedo
15 hours ago




$begingroup$
The Optimization Ocean is full of hopelessness, with a few archipelagos of tiny atolls (e.g., LP, QP, SDP, etc) where life is easy.
$endgroup$
– Rodrigo de Azevedo
15 hours ago




2




2




$begingroup$
Any particular reason for manually deriving convex approximations and then using an iterative approach, instead of simply using a general purpose nonlinear solver which effectively does this for you, but with added general tricks and knowledge to handle nonlinear programs.
$endgroup$
– Johan Löfberg
13 hours ago




$begingroup$
Any particular reason for manually deriving convex approximations and then using an iterative approach, instead of simply using a general purpose nonlinear solver which effectively does this for you, but with added general tricks and knowledge to handle nonlinear programs.
$endgroup$
– Johan Löfberg
13 hours ago












$begingroup$
@JohanLöfberg My idea was to solve the problem with respect to both $v_n,l$ and $p_k$ and formulate and SCA problem. I am not sure if it can be solved using non-linear solvers. I dont have experience with nonlinear solver and that's why I am not sure feasibility of the problem.
$endgroup$
– Chandan Pradhan
12 hours ago




$begingroup$
@JohanLöfberg My idea was to solve the problem with respect to both $v_n,l$ and $p_k$ and formulate and SCA problem. I am not sure if it can be solved using non-linear solvers. I dont have experience with nonlinear solver and that's why I am not sure feasibility of the problem.
$endgroup$
– Chandan Pradhan
12 hours ago




1




1




$begingroup$
Nonlinear solvers solve, well, nonlinear problems. Your problem is nonlinear. Most often when people start messing abour with homemade sequential convex approximations etc, they are simply reinventing the wheel, or bad approximations of a very standard wheel. Start with a standard nonlinear solver and see where it gets you. If that isn't good enough, try developing your own heuristics.
$endgroup$
– Johan Löfberg
6 hours ago




$begingroup$
Nonlinear solvers solve, well, nonlinear problems. Your problem is nonlinear. Most often when people start messing abour with homemade sequential convex approximations etc, they are simply reinventing the wheel, or bad approximations of a very standard wheel. Start with a standard nonlinear solver and see where it gets you. If that isn't good enough, try developing your own heuristics.
$endgroup$
– Johan Löfberg
6 hours ago










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Indicador: Tasa bruta de mortalidad (por 1000 habitantes).Population.Falleció el patriarca de la Iglesia Ortodoxa serbia.Atacan en Kosovo autobuses con peregrinos tras la investidura del patriarca serbio IrinejSerbian in Hungary.Tasas de cambio."Kosovo es de todos sus ciudadanos".Report for Serbia.Country groups by income.GROSS DOMESTIC PRODUCT (GDP) OF THE REPUBLIC OF SERBIA 1997–2007.Economic Trends in the Republic of Serbia 2006.National Accounts Statitics.Саопштења за јавност.GDP per inhabitant varied by one to six across the EU27 Member States.Un pacto de estabilidad para Serbia.Unemployment rate rises in Serbia.Serbia, Belarus agree free trade to woo investors.Serbia, Turkey call investors to Serbia.Success Stories.U.S. Private Investment in Serbia and Montenegro.Positive trend.Banks in Serbia.La Cámara de Comercio acompaña a empresas madrileñas a Serbia y Croacia.Serbia Industries.Energy and mining.Agriculture.Late crops, fruit and grapes output, 2008.Rebranding Serbia: A Hobby Shortly to Become a Full-Time Job.Final data on livestock statistics, 2008.Serbian cell-phone users.U Srbiji sve više računara.Телекомуникације.U Srbiji 27 odsto gradjana koristi Internet.Serbia and Montenegro.Тренд гледаности програма РТС-а у 2008. и 2009.години.Serbian railways.General Terms.El mercado del transporte aéreo en Serbia.Statistics.Vehículos de motor registrados.Planes ambiciosos para el transporte fluvial.Turismo.Turistički promet u Republici Srbiji u periodu januar-novembar 2007. godine.Your Guide to Culture.Novi Sad - city of culture.Nis - european crossroads.Serbia. 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Cocina serbia.Cooking.Montenegro se convertirá en el miembro 204 del movimiento olímpico.España, campeona de Europa de baloncesto.El Partizan de Belgrado se corona campeón por octava vez consecutiva.Serbia se clasifica para el Mundial de 2010 de Sudáfrica.Serbia Name Squad For Northern Ireland And South Korea Tests.Fútbol.- El Partizán de Belgrado se proclama campeón de la Liga serbia.Clasificacion final Mundial de balonmano Croacia 2009.Serbia vence a España y se consagra campeón mundial de waterpolo.Novak Djokovic no convence pero gana en Australia.Gana Ana Ivanovic el Roland Garros.Serena Williams gana el US Open por tercera vez.Biography.Bradt Travel Guide SerbiaThe Encyclopedia of World War IGobierno de SerbiaPortal del Gobierno de SerbiaPresidencia de SerbiaAsamblea Nacional SerbiaMinisterio de Asuntos exteriores de SerbiaBanco Nacional de SerbiaAgencia Serbia para la Promoción de la Inversión y la ExportaciónOficina de Estadísticas de SerbiaCIA. Factbook 2008Organización nacional de turismo de SerbiaDiscover SerbiaConoce SerbiaNoticias de SerbiaSerbiaWorldCat1512028760000 0000 9526 67094054598-2n8519591900570825ge1309191004530741010url17413117006669D055771Serbia